Google Driverless Car PPT (Latest Report)
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Google Driverless Car PPT: An effective report by Throttlebias. You can read in-depth study and analysis in the blog.
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Google Driverless Car
The document discusses Google's driverless car project. It describes how the car can steer, accelerate, and stop itself using sensors like LIDAR and cameras to detect obstacles and traffic conditions. The car's artificial intelligence analyzes data from Google Maps and sensors to determine how to drive safely. As of 2012, Google had 6 driverless cars that had traveled over 140,000 miles on public roads in Nevada with only occasional human intervention needed. Benefits include reduced accidents, easier traffic management, and increased road capacity. Potential risks include hacking and sensor failures.
Google car ppt
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
Complete ppt on driverless car 1(1) sd
The document discusses driverless cars, including their history and components. Driverless cars can steer, accelerate, and brake autonomously using sensors like LIDAR and cameras, as well as maps and artificial intelligence software. They are being developed to reduce accidents caused by human error and increase road safety. The technology is still being tested but could be available commercially in the next few years.
Autonomous vehicles
The document discusses autonomous vehicles and their potential benefits and challenges. It defines autonomous vehicles as vehicles that can travel from one point to another without human supervision. It notes that human error causes over 90% of automobile accidents and that autonomous vehicles could help reduce accidents by taking human error out of driving. The document outlines some of the key technologies used in autonomous vehicles, such as LIDAR, GPS, radar, ultrasonic sensors, video cameras, and a central computer. It discusses companies working on autonomous vehicle technologies like Google, Mercedes Benz, and Tesla. It also discusses some of the pros and cons of autonomous vehicles.
Self driving car
Self-driving cars can navigate without human input using sensors to detect their environment. They can steer autonomously, avoid obstacles, and obey speed limits. Early concepts date back to Leonardo Da Vinci but significant advances include cruise control in the 1940s and adding cameras/computers to detect objects in the 1980s. Modern versions use technologies like lasers, cameras, radars, and ultrasonics along with GPS and highly detailed maps to locate themselves and monitor surroundings. Potential benefits include fewer accidents, reduced injuries, less traffic and fuel used, and lower transportation costs.
Autonomous cars
This presentation focuses on the concept of autonomous cars (driverless cars) and their ethical conondrum.
Google driverless car
Waymo is an autonomous vehicle company that was started as Google's self-driving car project in 2009. It uses hardware sensors like LIDAR, radar, cameras and software to allow vehicles to drive themselves. The goal is to prevent traffic accidents, reduce emissions and free up people's time. Sebastian Thrun led the early research and development. Nevada was the first state to pass a law allowing driverless cars in 2011. Google has tested over 140,000 miles with its fleet of Toyota Prius and Audi TT vehicles. Advantages include safety and efficiency while disadvantages include potential hacking risks. Future applications could include shared autonomous taxis and increased road capacity.
Driverless cars
Driverless cars are vehicles that can drive themselves from one point to another without human assistance. They use sensors like Mobileye to detect their surroundings, navigation systems to plot routes, and motion planning to move in a way that avoids obstacles while executing its task.
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Google Driverless Car
The document discusses Google's driverless car project. It describes how the car can steer, accelerate, and stop itself using sensors like LIDAR and cameras to detect obstacles and traffic conditions. The car's artificial intelligence analyzes data from Google Maps and sensors to determine how to drive safely. As of 2012, Google had 6 driverless cars that had traveled over 140,000 miles on public roads in Nevada with only occasional human intervention needed. Benefits include reduced accidents, easier traffic management, and increased road capacity. Potential risks include hacking and sensor failures.
Google car ppt
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
Complete ppt on driverless car 1(1) sd
The document discusses driverless cars, including their history and components. Driverless cars can steer, accelerate, and brake autonomously using sensors like LIDAR and cameras, as well as maps and artificial intelligence software. They are being developed to reduce accidents caused by human error and increase road safety. The technology is still being tested but could be available commercially in the next few years.
Autonomous vehicles
The document discusses autonomous vehicles and their potential benefits and challenges. It defines autonomous vehicles as vehicles that can travel from one point to another without human supervision. It notes that human error causes over 90% of automobile accidents and that autonomous vehicles could help reduce accidents by taking human error out of driving. The document outlines some of the key technologies used in autonomous vehicles, such as LIDAR, GPS, radar, ultrasonic sensors, video cameras, and a central computer. It discusses companies working on autonomous vehicle technologies like Google, Mercedes Benz, and Tesla. It also discusses some of the pros and cons of autonomous vehicles.
Self driving car
Self-driving cars can navigate without human input using sensors to detect their environment. They can steer autonomously, avoid obstacles, and obey speed limits. Early concepts date back to Leonardo Da Vinci but significant advances include cruise control in the 1940s and adding cameras/computers to detect objects in the 1980s. Modern versions use technologies like lasers, cameras, radars, and ultrasonics along with GPS and highly detailed maps to locate themselves and monitor surroundings. Potential benefits include fewer accidents, reduced injuries, less traffic and fuel used, and lower transportation costs.
Autonomous cars
This presentation focuses on the concept of autonomous cars (driverless cars) and their ethical conondrum.
Google driverless car
Waymo is an autonomous vehicle company that was started as Google's self-driving car project in 2009. It uses hardware sensors like LIDAR, radar, cameras and software to allow vehicles to drive themselves. The goal is to prevent traffic accidents, reduce emissions and free up people's time. Sebastian Thrun led the early research and development. Nevada was the first state to pass a law allowing driverless cars in 2011. Google has tested over 140,000 miles with its fleet of Toyota Prius and Audi TT vehicles. Advantages include safety and efficiency while disadvantages include potential hacking risks. Future applications could include shared autonomous taxis and increased road capacity.
Driverless cars
Driverless cars are vehicles that can drive themselves from one point to another without human assistance. They use sensors like Mobileye to detect their surroundings, navigation systems to plot routes, and motion planning to move in a way that avoids obstacles while executing its task.
Autonomous car
The document discusses autonomous cars, including their history from early experiments in the 1920s to working prototypes in the 1980s. It describes the key components of autonomous cars like LIDAR, radar, cameras and GPS that work together to navigate and drive the vehicle without human assistance. The document also outlines some advantages like increased safety and productivity, as well as challenges to widespread adoption like sensor limitations in heavy weather and high manufacturing costs.
Autonomous car ; google car
The document discusses autonomous vehicles and their components. It notes that autonomous vehicles can drive themselves without human assistance using sensors like LIDAR, radar, cameras and ultrasonic sensors connected to a central CPU. The document provides a brief history of autonomous vehicles, outlines the hardware components and their functions. It also discusses some of the work done on autonomous vehicles between 2012-2020, and lists potential advantages like reduced accidents and disadvantages like hacking risks.
autonomous car
The document presents information on driverless cars, including a brief history of autonomous vehicles from 1969. It discusses how driverless cars use sensors and software to navigate without human input, and considers issues like safety, economic impacts, and how autonomous technology could affect transportation. While driverless cars may reduce accidents and open up new mobility options, challenges include high costs, job disruption, and ensuring computer systems don't cause crashes. The conclusion discusses both benefits of and social barriers to autonomous vehicle adoption.
Autonomous or self driving cars
The document discusses several technologies expected to be implemented in autonomous vehicles by 2020, including vehicle-to-vehicle communication allowing cars to share information to avoid accidents, augmented reality windshields displaying information about surrounding locations, energy-storing body panels to improve battery efficiency, and personalized presets tailored to individual drivers. While autonomous vehicles may reduce accidents and traffic and increase accessibility, challenges include liability issues, reluctance to give up control, software reliability, and the need to establish legal frameworks for regulation. Public opinion surveys show growing acceptance of self-driving car technology, with some major automakers expecting to offer fully autonomous vehicles by 2020.
Autonomous car(driver less car) (self driving car)
brief seminar on the driverless car , with full information about the sensers used for making the car as a driverless car or self driving car
Advanced driver assistance systems
Advanced driver assistance systems are designed to increase car safety and road safety overall. They help the driver in the driving process to enable safe and relaxed driving. Some examples of driver assistance systems that maximize safety include antilock braking systems, adaptive cruise control, blind spot detection, driver drowsiness detection, electronic stability control, emergency braking systems, hill descent control, intelligent speed assistance, lane departure warning systems, pedestrian detection, rear cross traffic alert, and traffic sign recognition. These systems alert drivers to hazards, help maintain safe distances and speeds, and in some cases automatically apply brakes to avoid collisions.
Autonomous car
An autonomous car uses sensors like LIDAR, RADAR, cameras and ultrasonic sensors to navigate without human input. It has two seats and drives at the speed limit while maintaining a safe distance from other vehicles. LIDAR uses lasers to generate 3D maps of the environment while RADAR detects objects' speeds and positions using radio waves. Autonomous cars aim to minimize accidents by removing human error from driving and allow disabled people to drive. However, they have disadvantages like inability to handle heavy weather, slow speeds at intersections, high costs, and potential for system failures.
Sazz
The document discusses autonomous or self-driving cars. It describes how autonomous cars use sensors like LIDAR, radar, cameras and ultrasonic sensors along with GPS and an inertial measurement unit to navigate without human intervention. The central computer combines data from these sensors to construct a 3D map of the vehicle's surroundings and control systems like steering and braking. Major companies developing autonomous vehicle technology include Google, Audi, BMW, Ford and General Motors.
Autonomous cars
The document discusses artificial intelligence and its applications in autonomous vehicles. It begins with definitions of intelligence and artificial intelligence. It then discusses how AI is used in mechanical engineering applications like robotics. A key application is autonomous cars, which are vehicles that can drive themselves without human assistance. The main components of autonomous cars are described as GPS, LIDAR, RADAR, video cameras and position estimators. Technologies like adaptive cruise control, adaptive high beams and traffic signal recognition enable fully autonomous driving. The document concludes with advantages and disadvantages of autonomous cars and examples of recently developed autonomous vehicles.
Google Driverless Car
Google driver less car is also known as autonomous car. It can travel from one point to another without any assistance from driver. It uses hardware sensors like LiDAR, position estimator, distance sensor, GPS, etc and Artificial Intelligence. Google map and Google street view are used for proper navigation. This technology reduces the traffic accidents and will make navigation more efficient.
Google driverless car technical seminar report (.docx)
Google Driverless Car is the latest technology or innovation that is going to hit the market in the coming years.
This report is especially for mechanical engineering students.
Self Driving Cars
This document discusses self-driving cars, including what they are, how they work, potential advantages and disadvantages, and challenges. It defines a self-driving car as a vehicle that can travel from place to place without human interaction by using sensors to navigate autonomously. Some advantages mentioned are increased road capacity, faster reaction times leading to fewer accidents, and reduced pollution. Disadvantages include high costs, potential software failures, and issues with public acceptance. Challenges involve gaining trust from humans, ensuring computer security, addressing legal liability, and requiring regulation from transportation safety authorities.
Adaptive cruise control system by NIKHIL R
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Autonomous car
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Autonomous Vehicles
Autonomous vehicles use various sensors like ultrasonic sensors, RADAR, LIDAR, image sensors, GPS, and wheel speed sensors to navigate without human input. They rely on sensor integration and technologies like computer vision, V2X communication, and electronic control units to process sensor data. While self-driving cars offer benefits like safety and efficiency, there are also challenges to overcome like unpredictable humans, bad weather, and needing detailed digital maps. Fully autonomous vehicles may become common by 2040 if these issues can be addressed.
Autonomous car
A FUTURE CONCEPT OF A VEHICLE'S TECHNOLOGY. A VERY BRIEF INTRODUCTION TO AUTONOMOUS TECHNOLOGY. ENHANCES THE QUALITY OF DRIVING.
Autonomous car
The document presents information on autonomous or self-driving cars. It discusses the concept of autonomous vehicles that can sense their environment and navigate without human input. It outlines the equipment used in autonomous cars, including LIDAR, radar, cameras and GPS. It describes how these sensors work together with an electronic control unit and software to process information and control actuators that move the steering wheel, brakes and throttle. The document also covers some advantages and disadvantages of autonomous vehicles.
GOOGLE CAR(autonomous car)
The document discusses Google's driverless car project. It provides an introduction to autonomous vehicles and describes some of the key technologies used in Google's cars, including laser range finders, cameras, radars, ultrasonic sensors, and GPS. The technologies work together to map the vehicle's environment, plan a safe route, and navigate while avoiding obstacles. Some advantages are fewer accidents and a smoother ride, though limitations include an inability to detect all hazards and potential security issues from hackers. In conclusion, autonomous vehicles may increase safety and improve traffic conditions by removing human error.
Autonomous car
An autonomous car is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. As an autonomous vehicle, it is capable of sensing its environment and navigating without human input.
Google Driverless Cars
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
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Automated vehicle
The document discusses automated vehicles and their components and capabilities. It describes how automated vehicles use sensors like cameras, lidars, and radars to map their environment and locate themselves within maps to navigate. It explains the techniques used for obstacle avoidance, path planning, and decision making to reach destinations safely. Technological barriers like unreliable GPS and computer vision challenges in certain environments are also mentioned.
Driverless cars
Driverless cars can drive autonomously using sensors and artificial intelligence to navigate without human input. The technology has been in development since the 1920s but gained more attention with DARPA challenges in the 2000s. Autonomous vehicles use hardware like LIDAR, cameras and radar along with GPS and maps to navigate roads safely while avoiding collisions. While the technology reduces accidents, challenges remain around security from hackers and sensor failures.
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Autonomous car
The document discusses autonomous cars, including their history from early experiments in the 1920s to working prototypes in the 1980s. It describes the key components of autonomous cars like LIDAR, radar, cameras and GPS that work together to navigate and drive the vehicle without human assistance. The document also outlines some advantages like increased safety and productivity, as well as challenges to widespread adoption like sensor limitations in heavy weather and high manufacturing costs.
Autonomous car ; google car
The document discusses autonomous vehicles and their components. It notes that autonomous vehicles can drive themselves without human assistance using sensors like LIDAR, radar, cameras and ultrasonic sensors connected to a central CPU. The document provides a brief history of autonomous vehicles, outlines the hardware components and their functions. It also discusses some of the work done on autonomous vehicles between 2012-2020, and lists potential advantages like reduced accidents and disadvantages like hacking risks.
autonomous car
The document presents information on driverless cars, including a brief history of autonomous vehicles from 1969. It discusses how driverless cars use sensors and software to navigate without human input, and considers issues like safety, economic impacts, and how autonomous technology could affect transportation. While driverless cars may reduce accidents and open up new mobility options, challenges include high costs, job disruption, and ensuring computer systems don't cause crashes. The conclusion discusses both benefits of and social barriers to autonomous vehicle adoption.
Autonomous or self driving cars
The document discusses several technologies expected to be implemented in autonomous vehicles by 2020, including vehicle-to-vehicle communication allowing cars to share information to avoid accidents, augmented reality windshields displaying information about surrounding locations, energy-storing body panels to improve battery efficiency, and personalized presets tailored to individual drivers. While autonomous vehicles may reduce accidents and traffic and increase accessibility, challenges include liability issues, reluctance to give up control, software reliability, and the need to establish legal frameworks for regulation. Public opinion surveys show growing acceptance of self-driving car technology, with some major automakers expecting to offer fully autonomous vehicles by 2020.
Autonomous car(driver less car) (self driving car)
brief seminar on the driverless car , with full information about the sensers used for making the car as a driverless car or self driving car
Advanced driver assistance systems
Advanced driver assistance systems are designed to increase car safety and road safety overall. They help the driver in the driving process to enable safe and relaxed driving. Some examples of driver assistance systems that maximize safety include antilock braking systems, adaptive cruise control, blind spot detection, driver drowsiness detection, electronic stability control, emergency braking systems, hill descent control, intelligent speed assistance, lane departure warning systems, pedestrian detection, rear cross traffic alert, and traffic sign recognition. These systems alert drivers to hazards, help maintain safe distances and speeds, and in some cases automatically apply brakes to avoid collisions.
Autonomous car
An autonomous car uses sensors like LIDAR, RADAR, cameras and ultrasonic sensors to navigate without human input. It has two seats and drives at the speed limit while maintaining a safe distance from other vehicles. LIDAR uses lasers to generate 3D maps of the environment while RADAR detects objects' speeds and positions using radio waves. Autonomous cars aim to minimize accidents by removing human error from driving and allow disabled people to drive. However, they have disadvantages like inability to handle heavy weather, slow speeds at intersections, high costs, and potential for system failures.
Sazz
The document discusses autonomous or self-driving cars. It describes how autonomous cars use sensors like LIDAR, radar, cameras and ultrasonic sensors along with GPS and an inertial measurement unit to navigate without human intervention. The central computer combines data from these sensors to construct a 3D map of the vehicle's surroundings and control systems like steering and braking. Major companies developing autonomous vehicle technology include Google, Audi, BMW, Ford and General Motors.
Autonomous cars
The document discusses artificial intelligence and its applications in autonomous vehicles. It begins with definitions of intelligence and artificial intelligence. It then discusses how AI is used in mechanical engineering applications like robotics. A key application is autonomous cars, which are vehicles that can drive themselves without human assistance. The main components of autonomous cars are described as GPS, LIDAR, RADAR, video cameras and position estimators. Technologies like adaptive cruise control, adaptive high beams and traffic signal recognition enable fully autonomous driving. The document concludes with advantages and disadvantages of autonomous cars and examples of recently developed autonomous vehicles.
Google Driverless Car
Google driver less car is also known as autonomous car. It can travel from one point to another without any assistance from driver. It uses hardware sensors like LiDAR, position estimator, distance sensor, GPS, etc and Artificial Intelligence. Google map and Google street view are used for proper navigation. This technology reduces the traffic accidents and will make navigation more efficient.
Google driverless car technical seminar report (.docx)
Google Driverless Car is the latest technology or innovation that is going to hit the market in the coming years.
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Self Driving Cars
This document discusses self-driving cars, including what they are, how they work, potential advantages and disadvantages, and challenges. It defines a self-driving car as a vehicle that can travel from place to place without human interaction by using sensors to navigate autonomously. Some advantages mentioned are increased road capacity, faster reaction times leading to fewer accidents, and reduced pollution. Disadvantages include high costs, potential software failures, and issues with public acceptance. Challenges involve gaining trust from humans, ensuring computer security, addressing legal liability, and requiring regulation from transportation safety authorities.
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Autonomous vehicles use various sensors like ultrasonic sensors, RADAR, LIDAR, image sensors, GPS, and wheel speed sensors to navigate without human input. They rely on sensor integration and technologies like computer vision, V2X communication, and electronic control units to process sensor data. While self-driving cars offer benefits like safety and efficiency, there are also challenges to overcome like unpredictable humans, bad weather, and needing detailed digital maps. Fully autonomous vehicles may become common by 2040 if these issues can be addressed.
Autonomous car
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Autonomous car
The document presents information on autonomous or self-driving cars. It discusses the concept of autonomous vehicles that can sense their environment and navigate without human input. It outlines the equipment used in autonomous cars, including LIDAR, radar, cameras and GPS. It describes how these sensors work together with an electronic control unit and software to process information and control actuators that move the steering wheel, brakes and throttle. The document also covers some advantages and disadvantages of autonomous vehicles.
GOOGLE CAR(autonomous car)
The document discusses Google's driverless car project. It provides an introduction to autonomous vehicles and describes some of the key technologies used in Google's cars, including laser range finders, cameras, radars, ultrasonic sensors, and GPS. The technologies work together to map the vehicle's environment, plan a safe route, and navigate while avoiding obstacles. Some advantages are fewer accidents and a smoother ride, though limitations include an inability to detect all hazards and potential security issues from hackers. In conclusion, autonomous vehicles may increase safety and improve traffic conditions by removing human error.
Autonomous car
An autonomous car is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. As an autonomous vehicle, it is capable of sensing its environment and navigating without human input.
Google Driverless Cars
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
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Autonomous car(driver less car) (self driving car)
Autonomous car(driver less car) (self driving car)
Google driverless car technical seminar report (.docx)
Google driverless car technical seminar report (.docx)
Similar to Google Driverless Car PPT (Latest Report)
Automated vehicle
The document discusses automated vehicles and their components and capabilities. It describes how automated vehicles use sensors like cameras, lidars, and radars to map their environment and locate themselves within maps to navigate. It explains the techniques used for obstacle avoidance, path planning, and decision making to reach destinations safely. Technological barriers like unreliable GPS and computer vision challenges in certain environments are also mentioned.
Driverless cars
Driverless cars can drive autonomously using sensors and artificial intelligence to navigate without human input. The technology has been in development since the 1920s but gained more attention with DARPA challenges in the 2000s. Autonomous vehicles use hardware like LIDAR, cameras and radar along with GPS and maps to navigate roads safely while avoiding collisions. While the technology reduces accidents, challenges remain around security from hackers and sensor failures.
automation.pptx
This document provides an overview of electric transport and automation, including:
- The requirements and benefits of automated vehicles, such as reducing traffic and increasing safety.
- The key sensors used in self-driving cars like cameras, lidar, radar, and speedometers.
- How automated vehicles make decisions through techniques like obstacle avoidance, path planning, and localization using maps generated from sensor data.
- Some of the top companies developing automated vehicle technology, including Google, QNX, and Delphi.
- Remaining technological barriers around issues like unreliable GPS and computer vision challenges in certain environments.
PPT Delf driving car.pptx
The document discusses the history and development of self-driving cars. It describes how early concepts from the 1500s evolved through experiments using radio signals and cameras in the 1900s. Major companies like Tesla, Waymo, and Google are now successfully creating fully autonomous vehicles using sensors like lidar, radar, cameras and ultrasonic sensors along with advanced algorithms. The benefits of autonomous vehicles include improved safety, mobility, and reduced traffic and emissions, but challenges remain around jobs, regulations, costs and cybersecurity. India is also working on autonomous car projects but faces hurdles around infrastructure, mapping, and manufacturing support.
Google CAR
The document discusses Google's self-driving car. It describes the key technologies that enable the car to drive autonomously such as LIDAR sensors to map surroundings, radar sensors to detect distant objects, GPS for positioning, and computer vision. The car's central computer analyzes sensor data to understand road rules and control steering, braking, and acceleration without human input. Benefits are reduced accidents from human error and increased road capacity, while disadvantages could include potential hacking risks.
Autonomous car
An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere traditional cargoes and do everything that an experienced human driver does.
The Society of Automotive Engineers (SAE) currently defines 6 levels of driving automation ranging from Level 0 (fully manual) to Level 5 (fully autonomous). These levels have been adopted by the U.S. Department of Transportation.
Autonomous vs. Automated vs. Self-Driving: What’s the difference?
The SAE uses the term automated instead of autonomous. One reason is that the word autonomy has implications beyond the electromechanical. A fully autonomous car would be self-aware and capable of making its own choices. For example, you say “drive me to work” but the car decides to take you to the beach instead. A fully automated car, however, would follow orders and then drive itself.
The term self-driving is often used interchangeably with autonomy. However, it’s a slightly different thing. A self-driving car can drive itself in some or even all situations, but a human passenger must always be present and ready to take control. Self-driving cars would fall under Level 3 (conditional driving automation) or Level 4 (high driving automation). They are subject to geofencing, unlike a fully autonomous Level 5 car that could go anywhere.
Jatin sharma (42162)
- People would have more free time that is currently spent driving that could be used for work or leisure activities like reading, socializing, or entertainment.
- Transportation services utilizing self-driving cars could become more accessible for those unable to drive such as the elderly or disabled.
- New types of businesses may emerge catering to passengers in self-driving cars such as mobile offices, restaurants, or shops.
Autonomous Car
- People would have more free time that could be spent working, relaxing, or socializing while in transit instead of focusing on driving.
- Public transportation usage may increase as self-driving cars could provide convenient door-to-door mobility.
- New types of businesses catering to passengers in self-driving vehicles may emerge, such as mobile offices or entertainment venues.
GOOGLE DRIVERLESS CAR
From the invention of the car there is a great relation between human and car. Because by the invention of the car the automobile industry was established, by this car the traveling time from one place to another place is reduced. The car brings royalty from the invention. As cars are coming on roads at that time there are so many accidents are occurring due to lack of driving knowledge & drink driving and soon, In that view only the Google took a great project, i.e. Google Driverless Car in these the Google puts the technology in the car, that technology was Artificial Intelligence with Google map view. The input video camera was fixed beside the front mirror inside the car, A LIDAR sensor was fixed on the top of the vehicle, RADAR sensor on the front of the vehicle and a position sensor attached to one of the rear wheels that helps locate the cars position on the map, The Computer, Router, Switch, Fan, Inverter, rear Monitor, Topcon, Velodyne, Applanix and Battery are kept inside the car.
These all components are connected to computer’s CPU and the monitor is fixed on beside of the driver seat, these we can observe in that monitor and can operate all the operations.
Autonomous cars
The document discusses autonomous or self-driving cars. It describes how they work using sensors like lasers, radars and cameras to navigate roads and detect objects. The car builds a map of its environment and localizes itself using GPS and other sensors. Processors analyze sensor data to track objects and let the car drive itself, making decisions like braking or changing lanes. While the technology provides safety and mobility benefits, autonomous cars are still being tested and perfected.
Driverless
This document discusses driverless car technologies, including Lidar and camera systems used by Google and radar/camera systems used by Audi. Lidar systems are more expensive but can operate anywhere, while Audi's system is cheaper but limited to highways. Both sense surroundings to navigate autonomously while avoiding obstacles. Driverless cars could reduce accidents, though the technology is expensive and has limitations in bad weather.
Smart car
Autonomous car based on artificial intelligence which is used by google for replacing drivers in car. Which will leads to the driving into the next phase
Autonomouscar
The document provides an overview of driverless or autonomous vehicles. It discusses the history and components of these vehicles, including sensors like LIDAR, radar and cameras. The document explains how artificial intelligence analyzes sensor data to navigate autonomously. Potential advantages are reduced accidents and increased road capacity, while obstacles include handling various weather conditions and temporary construction zones. Several companies aim to release autonomous vehicle technologies between 2014 and 2020.
Automatic driven cars
The document discusses the components and working of autonomous vehicles. It describes how autonomous vehicles use mechatronics and artificial intelligence along with sensors like radars, lidar, cameras and GPS to detect the vehicle's environment without human input. The main sensors are lidar, which uses lasers to generate precise maps, radars which detect nearby objects, and cameras which are used for visual detection and analysis. The signals from these sensors are processed by an electronic control unit which controls the actuators to navigate the vehicle. Potential advantages of autonomous vehicles include fewer collisions, reduced congestion, relieving drivers from driving tasks, and smoother rides.
google driver less car
The document discusses Google's driverless car project. It provides a brief history of how Sebastian Thrun developed the first Google driverless car prototype in 2014. The key components that enable the car's autonomous capabilities are described, including LIDAR sensors that map the environment, radar sensors that detect obstacles, video cameras, and position estimators. The artificial intelligence processes sensor data and maps to determine how to accelerate, brake, and steer safely. Potential advantages are reducing accidents, increasing road capacity, and saving fuel.
Autonomous cars
Autonomous vehicles use sensors like radar, lidar, cameras and GPS to navigate roads without human input. They process data from these sensors using multiple onboard processors to detect surroundings. Autonomous cars are classified on a scale from level 0 (driver assistance) to level 5 (full autonomy without steering wheel). While autonomous vehicles could reduce accidents and traffic, challenges remain regarding liability, software reliability, and legal/regulatory frameworks. The future may see more vehicles with autonomous features, but full autonomy will take time to implement safely.
“ADAS in Action (POC Autonomous Driving Vehicle Presentation)”
This document provides an overview of autonomous driving elements and technologies. It discusses advanced driver assistance systems (ADAS), different levels of vehicle autonomy, common automotive sensors like lidar, cameras and radar used in autonomous vehicles. It also covers computer vision and deep learning techniques like convolutional neural networks applied to tasks like object detection, segmentation and classification. Finally, it describes a proof-of-concept for an autonomous vehicle project including challenges faced and demonstrations of traffic sign recognition, object detection, steering angle prediction and simultaneous localization and mapping.
Self driving vehicle
Google is developing self-driving vehicles that use advanced sensors like LIDAR and cameras, as well as software, to navigate roads safely without human intervention. They have tested prototypes like the Toyota Prius and Lexus RX450h on over 700,000 miles of public roads in California and Nevada. Google's fully autonomous prototype vehicle unveiled in 2014 has no steering wheel or pedals and is being built with partners to further develop the technology. While self-driving vehicles could significantly reduce accidents, regulatory and technology challenges remain before they are ready for commercial use.
GOOGLE SELF DRIVING CAR.pptx
Google is developing self-driving car technology through a project called Google Chauffeur. The project uses sensors like lidar and cameras, along with detailed maps, to allow driverless vehicles to navigate roads safely. Google has tested self-driving cars from various manufacturers fitted with $150,000 worth of equipment. Their goal is to make these cars available to the public by 2020. The technology works by using sensors to locate the car and detect its surroundings, while software recognizes objects and obeys traffic laws to maneuver appropriately.
Google self driving car technology
The Google driverless car project involves developing technology for autonomous vehicles. The Google cars can steer, accelerate, brake and obey traffic laws without human input using sensors and software. Over 1 million miles have been driven accident-free. While driverless cars promise benefits like increased safety, traffic and environmental issues remain regarding regulations, liability, public acceptance, and infrastructure changes needed for full adoption of the technology.
Similar to Google Driverless Car PPT (Latest Report) (20)
“ADAS in Action (POC Autonomous Driving Vehicle Presentation)”
“ADAS in Action (POC Autonomous Driving Vehicle Presentation)”
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学校原件一模一样【微信：741003700 】《(Exeter毕业证书)埃克塞特大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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6:个人职称评审加20分
7:个人信誉贷款加10分
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UMich毕业证成绩单【微信95270640】（密歇根大学|安娜堡分校毕业证成绩单本科学历）Q微信95270640(补办UMich学位文凭证书)密歇根大学|安娜堡分校留信网学历认证怎么办理密歇根大学|安娜堡分校毕业证成绩单精仿本科学位证书硕士文凭证书认证Seneca College diplomaoffer,Transcript办理硕士学位证书造假密歇根大学|安娜堡分校假文凭学位证书制作UMich本科毕业证书硕士学位证书精仿密歇根大学|安娜堡分校学历认证成绩单修改制作，办理真实认证、留信认证、使馆公证、购买成绩单，购买假文凭，购买假学位证，制造假国外大学文凭、毕业公证、毕业证明书、录取通知书、Offer、在读证明、雅思托福成绩单、假文凭、假毕业证、请假条、国际驾照、网上存档可查！
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查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。他们熟识起来还成了无话不谈的好朋友可惜快乐的时光总是太短太匆忙有一次当他们在楼下捉迷藏时一根长竹竿居然穿越安全网从高空砸下不偏不倚重重地砸在小伙伴阿新稚嫩的肩上父亲再也不让山娃上工地玩了有一天因为过于思念小伙伴山娃还偷偷地跑到工地上去找去唤无奈小伙伴们全不知去向当山娃折好只纸鹤让父亲转交阿新时父亲哽咽了摆摆手说阿新早回老家疗伤去了当山娃追问缘何不留在城里疗伤时父亲沉默了好久才幽幽地说城里开支大没不
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按照学校原版(UniSA文凭证书)南澳大学毕业证快速办理
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
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我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(WashU文凭证书)圣路易斯华盛顿大学毕业证如何办理
一模一样【微信：176555708】【(WashU文凭证书)圣路易斯华盛顿大学毕业证成绩单Offer】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Charging Fueling & Infrastructure (CFI) Program Resources by Cat Plein
Cat Plein, Development & Communications Director of Forth, gave this presentation at the Forth and Electrification Coalition CFI Grant Program - Overview and Technical Assistance webinar on June 12, 2024.
Here's Why Every Semi-Truck Should Have ELDs
Implementing ELDs or Electronic Logging Devices is slowly but surely becoming the norm in fleet management. Why? Well, integrating ELDs and associated connected vehicle solutions like fleet tracking devices lets businesses and their in-house fleet managers reap several benefits. Check out the post below to learn more.
快速办理(napier毕业证书)英国龙比亚大学毕业证在读证明一模一样
学校原件一模一样【微信：741003700 】《(napier毕业证书)英国龙比亚大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
原版制作(澳洲WSU毕业证书)西悉尼大学毕业证文凭证书一模一样
学校原件一模一样【微信：741003700 】《(澳洲WSU毕业证书)西悉尼大学毕业证文凭证书》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
原版定做(mmu学位证书)英国曼彻斯特城市大学毕业证本科文凭原版一模一样
原版定制【微信:bwp0011】《(mmu学位证书)英国曼彻斯特城市大学毕业证本科文凭》【微信:bwp0011】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信bwp0011】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信bwp0011】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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Google Driverless Car PPT (Latest Report)
- 1. Google Driverless Car PPT
- 2. Introduction Components Working Action. Advantage Disadvantage Conclusion. Reference Content
- 3. The Google Driverless Car is like any car, but it can steer itself while looking out for obstacles. It can stop and go itself based on any traffic condition. It is a combination of different technologies developed by Google That will allow a car to drive itself even on the highway Introduction
- 4. 4 The project is currently being led by: Sebastian Thrun • Director of the Stanford Artificial Intelligence Laboratory • 2005 DARPA Grand Challenge Winner • Co-inventor of Google Street View Mind Behind
- 5. 2/3/2020Google Driverless Car 5 • Uses Google map, sensors, artificial intelligence • Lidar produced detailed map of the environment • Car uses white stripes on road to know lanes • 360 degree motion sensor and cameras to sense • Control of the car still exist • Sensors pushing data into main computer to process information
- 6. 6 Integrates Google Maps with various hardware sensors and artificial intelligence software • Google Maps • Provides the car with road information • Hardware Sensors • Provides the car with real time environment conditions • Artificial Intelligence • Provides the car with real time decisions Components
- 7. Google Map 7 Google Maps interacts with GPS and acts like a database. • Speed Limits • Upcoming intersections • Traffic Report. • Nearby collisions • Directions
- 8. • The hardware sensors gives real time environmental properties. • Environment is dynamic so need real time results. • Sensors attempt to create fully observable environment. Hardware Sensors
- 9. 9 • Lidar • Video camera • Position estimator • Distance sensor
- 11. LIDAR • “Heart of our system“ • LIDAR is an optical remote sensing technology • Measure the distance to, or other properties of a target • It often using pulses from a laser. • Scanning distance of 60 meters (~197 feet)
- 12. Distance Sensor • Detects upcoming traffic light • Recognizing moving obstacles like pedestrians and vehicles Video Camera • Allow the car to "see" far enough to detect nearby or upcoming cars or obstacles • It also contain radar • Object returns a tiny part of the wave’s energy to a dish • Radar system has a transmitter that emits radio waves called radar signal • Doppler effect
- 13. Position Estimator (wheel encoder) • Determines vehicle's location and keeps track of its movements • GPS is a space based satellite navigation system that provide location and time information • It is maintained by the US government • It freely accessible by anyone with a GPS receiver
- 14. Artificial Intelligence Google Maps and the hardware sensors data are sent to the AI. AI then determines: • How fast to accelerate • When to slow down/stop • When to steer the wheel Goal of AI The agent's goal is to take the passenger to its desired destination safely and legally
- 15. Working • The motors are first have to be installed • Apply pressure to both accelerator, brake pedals and turn the wheels • Motor receiving instructions from computer • Lidar used to detect objects and distance • video cameras detect traffic light • Control of the car would still exist
- 16. In Action
- 17. Advantages • Improved fuel efficiency • It will be of great help to people who are physically challenged • Higher speed limit for autonomous cars • Reduction of space required for vehicle parking. • Fewer traffic collision
- 18. Disadvantages • So many taxi drivers can lose their jobs • It steals driving pleasure from drivers who love it • It requires that the road are in good condition and follows a strict traffic system
- 19. Conclusion • Very useful . • Avoid accidents on the road • Reduce the traffic time at traffic signal • So many taxi drivers can loss their job
- 20. Reference • John Markoff (2010-10-09). "Google Cars Drive Themselves, in Traffic". The New York Times. Retrieved 2010-10-11 • http://en.wikipedia.org/wiki/John_Markoff • "Nevada enacts law authorizing autonomous (driverless) vehicles". Green Car Congress. 2011-06-25. Retrieved 2011-06-25 • http://www.greencarcongress.com/2011/06/ab511 -20110625.html • Alex Knapp (2011-06-22). "Nevada Passes Law Authorizing Driverless Cars". Forbes. Retrieved 2011-06-25.
- 21. Thank you