The document discusses autonomous vehicles and their key features. It describes how autonomous cars use sensors and advanced systems like intelligent cruise control, collision avoidance, lane support and night vision to drive themselves. These systems allow the cars to maintain speed and distance from other vehicles, detect lanes and traffic lights, and park without human assistance. While autonomous vehicles could reduce accidents and increase road capacity, challenges remain around system failures, hacking risks and high costs.
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.
Advanced driver assistance systems are designed to increase car safety more generally road safety.
Basically Advanced driver assists(ADS) systems helps the driver in the driving process and enables safe, relaxed driving. It makes sense to get your new car with driver assist features if you find it at a reasonable price as it helps you drive easily and safely in everyday use.
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
Global Advanced Driver Assistance Systems (ADAS) Market: Trends and Opportuni...Daedal Research
The report titled “Global Advanced Driver Assistance Systems (ADAS) Market: Trends and Opportunities (2013-2018)” provides an in-depth analysis of global advanced driver assistance system market. For more mail me: info@daedal-research.com
automatic braking system and brake actuation before collisonashutosh singh
In this project the pneumatic bumper and brake is used to protect the man and vehicle. This system is only activated when any obstacle comes in front of vehicle, the obstacle is sensed by sensor and it gives the signal to the control unit and due to this bumper system and braking system activated. Bumper is energized by compressor and it compressed the air and send it to the pneumatic piston. This system is used in any type of light vehicles.
This Presentation describes about the concept of self driving car with uses of different technology. This presentation will be helpful for those who want to know about new technology and will also be helpful for those who want to give seminar in technical college.
Advanced driver assistance systems are designed to increase car safety more generally road safety.
Basically Advanced driver assists(ADS) systems helps the driver in the driving process and enables safe, relaxed driving. It makes sense to get your new car with driver assist features if you find it at a reasonable price as it helps you drive easily and safely in everyday use.
Under this topic i have described about the autonomous cars, on which worlds top automobile and tech giants are working like google, ford, BMW, audi etc.
Global Advanced Driver Assistance Systems (ADAS) Market: Trends and Opportuni...Daedal Research
The report titled “Global Advanced Driver Assistance Systems (ADAS) Market: Trends and Opportunities (2013-2018)” provides an in-depth analysis of global advanced driver assistance system market. For more mail me: info@daedal-research.com
automatic braking system and brake actuation before collisonashutosh singh
In this project the pneumatic bumper and brake is used to protect the man and vehicle. This system is only activated when any obstacle comes in front of vehicle, the obstacle is sensed by sensor and it gives the signal to the control unit and due to this bumper system and braking system activated. Bumper is energized by compressor and it compressed the air and send it to the pneumatic piston. This system is used in any type of light vehicles.
This Presentation describes about the concept of self driving car with uses of different technology. This presentation will be helpful for those who want to know about new technology and will also be helpful for those who want to give seminar in technical college.
As per the growth of population, every company lunch their products with new technology and features. Automobile industry also lunch new cars with new technology and features.
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.
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
The Google driverless car is a project by Google that involves developing technology for autonomous cars.
The Google Driverless Car is like any car, but:
It can steer itself while looking out for obstacles.
It can accelerate itself to the correct speed limit.
It can stop and go itself based on any traffic
The software powering Google's cars is called Google Chauffeur.
It can take its passengers anywhere it wants to go safely, legally, and comfortably.
Currently being led by Sebastian Thrun ,former director of Stanford Artificial Intelligence Laboratory and co-inventor of Google’s Street View.
Left Turn Display Mechanism for Facilitating Left Hand TurnsAli Vira
SYDE 1A Design Project
Atef Chaudhury
Jacinta Ferrant
Joey Loi
Michal Ulman
Ali Vira
Elizabeth Yang
Drivers making left hand turns are faced with the challenge of making decisions with incomplete information, leading to dangerous situations where an individual may drive into the path of an oncoming vehicle. A modification to current traffic systems was designed to aid drivers by alerting them of oncoming traffic obscured by blind spots. Although some intersections currently use the advance green for left turns, the oncoming traffic must be at a halt. This system will stand out by not having any effect on the oncoming flow of traffic. Unlike competitors’ systems, this system dynamically calculates an unsafe zone based on the speed of oncoming cars, weather conditions, and driver reaction time and intuitively presents this information. The system has the following four functions: detect oncoming traffic, determine the size of left-turning vehicle, calculate an unsafe zone in which a driver cannot safely make a left hand turn, and present the information to a driver in a simple fashion. The first function is achieved through the use of two radars pointed at oncoming traffic, which are able to identify the speed and position of oncoming traffic in up to 10 lanes. Left-turning vehicle classification is achieved through using a camera facing the left-turning vehicle. The third function is achieved through the use of a Raspberry Pi computer with a connection to a weather network. The mean time to make a left turn has been found to be 3.0s at a two-lane intersection. The universal human reaction time used by accident reconstructionists is 1.5 seconds. Both these times were factored into the unsafe-zone calculation. If it is determined that there is not enough time to make a safe left turn, the system signals the left turning driver that it is not safe to go. This function is achieved through the use of a flashing amber light. The system will reset once an oncoming car passes through the intersection. During mechanical testing, the system was able to withstand winds up to 128km/h and temperatures -50ºC to 60ºC. The vehicle detection range was found to be 76.2m, and the power requirement was found to be 23.4Wh. For further improvement, the system will incorporate pedestrian and cyclist detection; use a more accurate algorithm, and features to enhance compatibility.
This helps you to know the advance technology of automotive.In this paper, I address the influence of ICT based Intelligent Automobile Safety System reduce the proportion of Highway Accidents due to human factor (i.e. 95%). These systems make use of ICT to provide solutions for improving road safety in particular in the pre-crash phase. These systems operate either autonomously on board of the vehicle or co-operatively through vehicle to vehicle or vehicle to infrastructure communications. They make it possible to ensure safe speed, lane support, pedestrian protection, night improved vision, driver information system, GPS & GIS navigation, emergency braking system, hill ascending & descending holders, traction control, roll over and its protection and wine smell detector.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
2. Outline:
Introduction
Structure
Features
‘Intelligent Cruise Control’ & ‘Collision Avoidance System’
‘Lane Support System’ & ‘Detecting Traffic Lights’
‘Automatic Night Vision’ & ‘Self Parking’ & ‘Electronic Stability Control’
Evaluation Of Technologies
Advantages & Disadvantages
A Real-World Example
Conclusion
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 2
3. Introduction
The Word “Autonomous Car” says it all.
Ideally an intelligent autonomous car would have an automatic pilot, which can park itself,
guide through dense traffic in towns and at high speeds between towns, understand lanes and
follow the prescribed traffic rules.
The driver would have the ability to switch between automatic and manual.
In the current world, fully autonomous systems will not appear for some time although they
may be introduced sooner if the traffic environment is greatly constrained.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 3
6. Features
Intelligent Cruise Control
Collision Avoidance System (Automatic Braking)
Lane Support System
Detecting Traffic Lights
Automatic Night Vision
Self Parking
Electronic Stability Control
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 6
7. Intelligent Cruise Control
Traditional cruise control systems have been in use for many years. They maintain a constant
vehicle speed, set by the driver, thereby improving comfort in steady traffic conditions.
The use of cruise control would be significantly increased if the vehicle speed could
automatically adapt to the traffic flow.
It uses a radar setup allowing the vehicle to slow when approaching another vehicle and
accelerate again to the preset speed when traffic allows.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 7
9. Collision Avoidance System
The main requirement for a collision avoidance system is to be able to predict accurately the
likelihood of an imminent collision.
If a collision is likely then the system should respond in such a way as to reduce the threat.
The response could involve the automatic control of the vehicle or simply an appropriate
warning to the driver.
It Senses an imminent distance with another vehicle or a velocity related danger.
Responds by either pre-charging the brakes or by applying the brakes to slow the vehicle
without any driver input.
Detects by radar, video, infrared, ultrasonic, GPS sensors.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 9
11. Lane Support System
A mechanism is designed in such a way that it warns a driver when the vehicle begins to move
out of its lane.
It is designed to minimize accidents by addressing the main causes of collisions: driving error,
distraction, talking on a cell phone and drowsiness.
To avoid this U.S. developer of intelligent transportation system technologies, have produced
“AutoVue” — an embedded camera-based lane-marking recognition and warning system.
By monitoring the visual lane markings on the road and signaling the driver with an audible or
tactile warning.
The lane markings are detected by processing images from a video camera and the system
achieves lane-marking detection at 15 frames per second.
AutoVue alerts a tired, distracted, or inattentive driver that he or she is about to leave their
lane.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 11
12. Lane Support System (Cont.)
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 12
13. Detecting Traffic Lights
A sensor “Actinometer“ is used to detect the intensity of radiation.
Light of different colors will radiate different -2-intensity of radiation which will be detected by
the sensor.
If the detected intensity is of red colour or yellow colour then controller will send a command
to stop the vehicle.
The command will be followed by robot (to convert the computer command into mechanical
input).
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 13
14. Automatic Night Vision
It increases a vehicle driver's perception and seeing distance in darkness or poor weather
beyond the reach of the vehicle's headlights.
Cars currently using Automatic Night Vision are:
2002-2007 Lexus LX 470
2009 Lexus LS
2006 Mercedes CL-class
2009 Mercedes E-class
2009 Mercedes S-class
2002 Toyota Land Cruiser Cignus
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 14
15. Automatic Night Vision (Cont.)
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 15
16. Self Parking
The System uses sensors all around the car to guide it into a parallel parking space.
The driver has to find a parking space, Position the car next to it, and use the in-cabin
navigation screen to tell the car where it should go.
The parking space needs to be 6 feet (1.8 meters) longer than the car
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 16
18. Electronic Stability Control
A computerized technology improves vehicle's stability by detecting and minimizing skids.
It Automatically applies the brakes.
Helps to minimize a loss of control.
Electronic Stability Control compares the driver's intended direction to the vehicle's actual
direction in GPS.
Electronic Stability Control works using Wheel-Speed Sensors, Steering Angle Sensors &
Rotational-Speed Sensors.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 18
21. Advantages
Minimizes speed differentials between vehicles.
Automatic throttle reduction and brake management.
To be able to adapt - therefore, learning ability.
To be autonomous - therefore, ability to sense, model and provide output.
To avoid accidents, overcome the loss of life and financial cost.
Relieving vehicle occupants from driving & allowing them to do other tasks or to rest during
their long & intense traffic journeys.
Managing traffic flow & Increasing roadway capacity by reducing the distances between cars.
The current location of vehicle can be determine using global positioning system (GPS).
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 21
22. Disadvantages
If the vehicle is using internet which is have less security then from the hackers point of view in
some cases the vehicle can be switched off on the road (in rare cases).
Hackers can change the route which is plotted in the system (in rare cases).
In case of failure of main sensor and backup sensors the vehicle can create a chance of
accident.
A failure or a bug in the system can lead to fatal accidents and loss of lives.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 22
23. Example – Google’s Toyota Prius
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 23
24. Conclusion
The First thing is Human Intelligence is replaced by Artificial Intelligence as a human’s work is
done by some equipment's & technologies put together.
AICC and Lane Support Systems not only increases driver’s comfort but also reduce the risk of
an accident.
Collision Warning System will be useful for alerting a distracted driver to hazard provided the
time to impact is not too critical.
Cost is a major consideration in the automotive market.
The end objective is to be able to survive in an evolving environment and changing
circumstances, a representation - of real-world system.
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 24
25. References
Self-Driving Cars: The Next Revolution by KPMG(kpmg.com)
Using Artificial Intelligence to create a low cost self-driving car.
http://en.wikipedia.org/wiki/Autonomous_car
http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/how-google-self-driving-
car-works
http://news.discovery.com/autos/future-of-transportation/how-google-self-driving-car-works-
111018.htm
http://auto.howstuffworks.com/under-the-hood/trends-innovations/driverless-car.htm
http://visual.ly/how-autonomous-vehicles-work
http://www.economist.com/blogs/economist-explains/2013/04/economist-explains-how-self-
driving-car-works-driverless
JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 25
26. JAY J. PATEL (D. G. RUPAREL COLLEGE OF ARTS, SCIENCE & COMMERCE) 26
Thanks,
Jay J. Patel
M.Sc. I.T. Part – II (Semester-III), D. G. Ruparel College of Arts, Science & Commerce.