This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
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.
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
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.
Research presentation on Autonomous Driving. Direction perception approach.
Research work by Princeton University group.
Note: Link given in the presentation
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
[Updated 2/27/17] Brian Solis, principal analyst of Altimeter, a Prophet Company, has tracked the autonomous industry for two years and has assembled the most comprehensive report on “The State of The Autonomous Driving.” The updated report features the latest developments among companies driving the future, including 76 automakers, startups and universities. The report also includes an infographic that organizes all of the companies by technology focus and its open to third party creative commons use. This report will be updated regularly, if you would like to contribute updates please contact Brian via email at brian@altimetergroup.com
Biometric "Fingerprint Access" Security for Automotive... Commercial Trucking...Mark Proctor
The basic mechanism of the system only allows authorized users with enrolled fingerprint to access the system to start the vehicles. The system is absolutely to be enabled or disabled anytime with such fingerprint security function. For instance, you may use the “Valet Mode” if you want to lend vehicle to someone or just need to valet your vehicle. This System is 100% innovative and functional flexible. If anyone tries to start your vehicle without an authorized enrolled fingerprint it simply will not start. If they try and remove the sensor it will render the vehicle disabled.
Features:
• Biometrics Intelligence
• Automatic Start
• Anti-Theft Immobilizer
• Fast Setting
• Multi-Mode start up
• Stores up to 30 prints
• Easy Registration
• Valet Mode
• Voice Prompts
This lecture discuss the issues of autonomy and autonomous systems, by discussing models and technologies for autonomous agents and self-organising systems.
[Lecture @ MBA Alma Graduate School
Villa Guastavillani, Bologna, Italy, 08/05/2014]
Identity verification in computer systems are done based on measures like keys, cards, passwords, PIN and so on. Unfortunately, these may be forgotten, disclosed, or changed. A reliable and accurate identification or verification technique can be designed using biometric technologies. For more information, please visit; http://www.safe-systems.com
How will driverless vehicles impact urban living and daily commutes? How should governments get involved?
Lauren Isaac, Manager of Sustainable Transportation at WSP | Parsons Brinckerhoff in the US, is dedicated to improving mobility around our cities. She blogs about automated vehicles and driverless cars and is doing research on what should be the role of governments.
Our goal at PSA Peugeot Citroën is to help drivers let go of the wheel. We are currently designing clear,
intuitive and user-friendly interfaces that allow drivers to interact effortlessly with their vehicles and take back
control whenever they wish.
Autonomous vehicles will be connected to road infrastructure and to each other to optimise travel times,
reduce fuel consumption and proactively manage potentially hazardous road incidents.
PSA Peugeot Citroën pioneered emergency call and assistance systems in 2003. Now we are doing the
same with connected services. The Peugeot Connect Apps and Citroën Multicity Connect service platforms,
for example, have been reinventing the driving experience since 2012, offering assistance, communication
and information.
These apps are paving the way for the next generation of connected services, this time aimed at optimising
customer mobility and offering a seamless user experience with more comfort, more services and more
safety.
Greater vehicle connectivity means greater vehicle autonomy, and that ultimately means greater mobility for
our customers.
Autonomous Vehicles - Impacts and OpportunitiesPeter Shannon
Autonomous vehicles can evolve to impact society in profound ways by challenging assumptions we have lived by for generations. This presentation (and the discussion it supports) will explore the new opportunities as well as the challenges of autonomous vehicles, from how they will impact individuals’ lives during early adoption to how they will remake the urban cityscape in the long term. We will explore the technology’s impact on the concepts of vehicle ownership, parking, travel planning, and other parts of our lives shaped today around humans at the wheel, as well as practical challenges to realizing the long term opportunities.
Webinar on Key Areas of Connectivity Focus at Various Levels of Autonomous Driving by Stephen Surhigh, Vice President & General Manager, Cloud Services at HARMAN International
Driverless Vehicles: Future Outlook on Intelligent TransportationIJERA Editor
Numerous technologies have been deployed to assist and manage transportation .But recent concerted efforts in academia andindustry point to a paradigm shift in intelligent transportation systems. Vehicles will carry computing and communication platforms,and will have enhanced sensing capabilities .They will enable new versatile systemsthat enhance transportation efficiency. This article surveys the sate-of-art approaches towards the future outlook on intelligent transportation. Current capabilities as well as limitations and opportunities of key enabling technologies are reviewed along with details of numerous notable projects that have been done around the world. Finally report also reviews the legal and regulatory uncertainties.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
The Indian economy is classified into different sectors to simplify the analysis and understanding of economic activities. For Class 10, it's essential to grasp the sectors of the Indian economy, understand their characteristics, and recognize their importance. This guide will provide detailed notes on the Sectors of the Indian Economy Class 10, using specific long-tail keywords to enhance comprehension.
For more information, visit-www.vavaclasses.com
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2. Autonomous vehicles
Definition
Vehicle that get from one point to another
point without human interaction.
Autonomous vehicles are also called
driverless cars, robotic cars or self-driving
cars.[1]
Autonomous Vehicles are capable of
fulfilling main transportation capabilities of a
traditional car.
Driverless cars move from one place to
another place without drivers.
These cars plays an important role in
reduction of car accidents[2].
These cars eliminate the human errors[2].
3. Companies Working on Autonomous Vehicles:
Top 5 Companies working on autonomous cars are [3]
Google
Intel
General Motors
Mercedes Benz
Audi
Toyota, Nissan and Honda (big three of Japan) will join together to work on autonomous vehicles[4]
4. Companies Working on Autonomous Vehicles:
Top 5 Companies working on autonomous cars are [3]
Google
Intel
General Motors
Mercedes Benz
Audi
Toyota, Nissan and Honda (big three of Japan) will join together to work on autonomous vehicles[4]
5. Companies Working on Autonomous Vehicles:
Top 5 Companies working on autonomous cars are [3]
Google
Intel
General Motors
Mercedes Benz
Audi
Toyota, Nissan and Honda (big three of Japan) will join together to work on autonomous vehicles[4]
6. Companies Working on Autonomous Vehicles:
Top 5 Companies working on autonomous cars are [3]
Google
Intel
General Motors
Mercedes Benz
Audi
Toyota, Nissan and Honda (big three of Japan) will join together to work on autonomous vehicles[4]
7. The Technology of the Car
• Anti-Lock Brakes(ABS)
• Electronic Stability control
• Adaptive cruise control
• Lane-departure warning system
• Self parking
• Automated guided vehicle systems
• Lidar-Systems(with google cars) or
Cruise Automated Systems(Audi)
• Infrared cameras.
8. The Lidar System
Lidar is used to detect obstacles
Detects obstacles through light and determines
where the vehicle is in relation to those obstacles
Singapore's Singapore-MIT Alliance for Research
and Technology (SMART) is actively developing
technologies for autonomous Lidar vehicles[5].
companies that produce lidar sensors commonly
used in robotics or vehicle automation are
Sick[5]and Hokuyo[7].
10. Adoptive Cruise
Control Systems
It is optional for road vehicles that automatically
adjusts the vehicle speed.
It makes no use of satellite or
roadside infrastructure nor of
any cooperative support from other vehicles
control is imposed based on
sensor information from on-board sensors only
Cooperative Cruise Control (CACC) further
extends the automation by gathering information
from fixed infrastructure such satellites and
roadside beacons, or mobile infrastructure.
It can be LASER based or RADAR based
11. Types of Algorithms
The combination of:
3-D imaging with multiple 1064 nm
lasers.
Edge-Detection Algorithm
Motion-Detection algorithm
Tracking algorithm
12. Vehicle to Infrastructure Communication
Vehicle-to-Infrastructure (V2I) Communications for Safety is the wireless exchange of critical safety
and operational data between vehicles and roadway infrastructure.
The vision for V2I research is to enable safety applications designed to avoid or mitigate vehicle
crashes, particularly for crash scenarios not addressed by V2V communications alone
It is based on widespread deployment of a dedicated short-range communications link,
incorporating IEEE 802.11
14. Vehicle to vehicle Communication
V2V is an automobile technology designed to allow automobiles to "talk" to each other.
V2V is also known as VANETs. It is a variation of MANETs .
In V2V vehicles share information related to their speed, direction maneuvers.
It helps to reduce the road crashes by getting the information of the surrounding.
The information can be exchanged using DSRC and GPS.
16. Current Adoption of the Technology
Google, as mentioned previously
Cruise Automation
Tesla Model D announced in 2014
Car will be able to autonomously pick owners up (on private property)
Cadillac Super Cruise announced in 2014 for 2017 models
Hands-free driving in certain conditions
Vehicle to vehicle communication
Ford Traffic Jam Assist announced in 2012 gives similar features
17. Components
Lane departure warning
Lazy or inattentive drivers can automatically be moved
Blind spot monitoring
Warn if cars are in blind spots
Sonic blind support assisting system(SONAR)
Pedestrian detection
Automatic brake or warning
Adaptive cruise control + forward collision warning
Car stays a safe distance behind cars ahead of it
Warns or takes action in case of danger
19. Statistical and Professional Support
32,719 people were killed in car accidents in the US alone in 2013
The Institute for Highway Safety reported the following in 2014
7% reduction in crashes for vehicles with forward collision warning systems.
14-15% reduction for vehicles with automatic braking.
In 2012 pedestrian deaths were 14% of all crash fatalities
Insurance Institute for Highway Safety found 72% of people who try the technology
want them in their own vehicle.
Automatic braking lowers severity of unavoidable crashes according to an IIHS
official.
20. Drawbacks
Although there are people who want the technology in their cars, it can cost:
$2,000 on average for safety-related tech (not automation)
$10,000 for Cruise in Audi S4s, as mentioned.
Poor performance in adverse weather conditions
Who is to blame?
The car manufacturer? The programmer?
The driver?
21. Reference
1. https://www.google.com.pk/webhp?sourceid=chrome-instant&ion=1&espv=2&ie=UTF-
8#q=what%20is%20autonomous%20cars
2. Vehicle Crashes and Pre-Crash Scenarios Based on the 2000 General Estimates System. (Report No.
DOT HS 809 573). Washington, DC: National Highway Traffic Safety Administration.
3. Najm, W. G., Smith, J. D., & Yanagisawa, M. (2007, April). Pre-Crash Scenario Typology for Crash
Avoidance Research. (Report No. DOT HS 810 767). Washington, DC: National Highway Traffic Safety
Administration.
4. DaSilva, M. P., Smith, J. D., & Najm, W. G. (2009, February). Heavy Vehicle Pre-Crash Scenario
Typology For Crash Avoidance Research. Washington, DC: National Highway Traffic Safety
Administration.
5. http://motioncars.inquirer.net/36858/filipino-turns-ordinary-car-into-autonomous-vehicle
6. "Sick Senor Intelligence product portfolio". 2014-11-12. Retrieved 2014-11-12
7. "Hokuyo scanning range finder". 2014-11-12. Retrieved 2014-11-12.
![Autonomous vehicles
Definition
Vehicle that get from one point to another
point without human interaction.
Autonomous vehicles are also called
driverless cars, robotic cars or self-driving
cars.[1]
Autonomous Vehicles are capable of
fulfilling main transportation capabilities of a
traditional car.
Driverless cars move from one place to
another place without drivers.
These cars plays an important role in
reduction of car accidents[2].
These cars eliminate the human errors[2].](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)