AI and Autonomous Vehicles Daniel Landers COMP- 4640 Intelligent and Interactive Systems 3/10/2007.

Slides:



Advertisements
Similar presentations
Driverless Cars Samuel Erb CS534, Spring 2013 IMAGE:
Advertisements

S ELF - DRIVING C ARS by Daniel Collins. B RIEF H ISTORY OF S ELF -D RIVING C ARS General Motors sponsored a self-driving car that was exhibited in the.
Driver Behavior Models NSF DriveSense Workshop Norfolk, VA Oct Mario Gerla UCLA, Computer Science Dept.
Street Crossing Tracking from a moving platform Need to look left and right to find a safe time to cross Need to look ahead to drive to other side of road.
Driving Safety Off-Road Vehicles Lander University Office of Safety and Compliance.
ORT (other random topics) CSE P 576 Larry Zitnick
AI CSC361: Intelligent Agents1 Intelligent Agents -1 CSC361.
Jessie Byrne L. Keliher COMP 1631 January 27 th 2011.
Intelligent Ground Vehicle Competition 2006 Brigham Young University.
Link to Presentation Not Easy Old House.
Autonomous guided vehicles BADI John Errington MSc.
What is the DARPA Grand Challenge?  Autonomous Robotic Ground Vehicles Goal of the Armed Forces to have 1/3 of the ground vehicles unmanned by 2015 $2.
The Grand Challenge By SJSU Team ????. Objective Autonomous Vehicle Race Starts at Barstow, CA Crosses Mohawk Desert (250 miles) Finishes in Las Vegas.
1 Autonomous Robots Key questions in mobile robotics What is around me? Where am I ? Where am I going ? How do I get there ? Alternatively, these questions.
SUMMARY OF BENEFITS AND RETURN ON INVESTMENT GPS FLEET TRACKING.
Safe Routes to School Quiz Show. Rules of the Game Your group will select a category and click on the point value for that category. Work with your group.
A Community with Autonomous Personal Vehicles Larry Jackel CyCab cybercar in La Rochelle (Robosoft, France))
Dr. Jennifer Rochlis. Overview Build a technology testbed for future rover concepts Develop and demonstrate operations and mission concepts.
Geopositioning and Applications in Transportation GMAT9205 Students: Ellis Leung ( ) Terry Nham ( )
Shaun Martin & Brian Pritchett.  Team Introduction  Problem Definition  The Challenge  Contest Rules  Demonstration  Current Design  Who are the.
1. This seminar paper is based upon the project work being carried out by the collaboration of Delphi- Delco Electronics (DDE) and General Motors Corporation.It.
Automated Road Vehicles Developments during 2005 Robert Johnson R. E. Johnson Consulting Rockville, Maryland Advanced Transit.
New English Integrated Course Book Four Unit Two Smart Cars.
By Alain L. Kornhauser, PhD Professor, Operations Research & Financial Engineering Director, Program in Transportation Faculty Chair, PAVE (Princeton Autonomous.
Autonomous Vehicles By: Rotha Aing. What makes a vehicle autonomous ? “Driverless” Different from remote controlled 3 D’s –Detection –Delivery –Data-Gathering.
Basic Vehicle Control The importance of this lesson is to know the location and operation of a vehicles control devices in order to be a safe driver. Nicole.
SAFETEXTER SAVING LIVES BEHIND THE WHEEL MICHAEL DOWDY DONOVAN HICKS KENNETH LEWIS DANNY THEPVONGSA.
Embedded Systems Development and Applications Terrence Mak The Chinese University of Hong Kong CENG4480 Fall 2014/15.
November 10, 2004 Prof. Christopher Rasmussen Lab web page: vision.cis.udel.edu.
Towards Automatic Driving Xiaokai He – January 20 th, 2010.
Google Self-Driving Cars By: Shiv Patel ITMG /16/13.
Autonomous Vehicles Let the car do the driving! P&O 2010Dennis Bevers.
© Siemens AG, 2002 s CP RS Agenda The Role of IT for Accident-free Driving Interaction with driver’s physical condition Interaction with the roadside environment.
Press Release 7/2/09. Safer Travel Cleaner air.
Urban Challenge Sponsored by DARPA November 3 rd, 2007.
Artificial Intelligence By: Ian, Chelsea, Doug, & Grace.
INTELLIGENT AGENTS. Agents  An agent is anything that can be viewed as perceiving its environment through sensors and acting upon that environment through.
AI in Robotics April 23, 2008 Michael Buynak. Layout Introduction to robotics Ethics Historical (lots of videos)  Past  Present  Future.
What is Artificial Intelligence? What is artificial intelligence? It is the science and engineering of making intelligent machines, especially intelligent.
 Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference.
BASIC VEHICLE CONTROL CHAPTER 3. Basic Vehicle Control When you begin driving, you will need to know the instruments, controls, and devices that you will.
An autonomous ground vehicle is a vehicle that navigates and drives entirely on its own with no human driver and no remote control. Through the use of.
Smart Driving Cars: Looking Back to Princeton’s participation in the DARPA Challenges Alain L. Kornhauser, Ph.D. Professor, Operations Research & Financial.
Autonomous Vehicle Initiatives at Princeton University Alain L. Kornhauser Professor, Operations Research & Financial Engineering Director, Transportation.
Chapter 2 Agents & Environments
AUTOMOBILES By Zihan Yan. AUTONOMOUS CARS Driverless car, self-driving car, robotic car A vehicle that is capable of sensing its environment and.
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
A Look into Autonomous Vehicles
Chapter 12: Equipment For Safe Driving. Required Equipment Brakes: Brakes: How many brake systems are in an automobile? How many brake systems are in.
DO NOW Chapter 3 Review.
CRUISE CONTROL DEVICES Presented by Anju.J.S. CRUISE CONTROL DEVICES.
ARTIFICIAL INTELLIGENCE IN MECHANICAL ENGINEERING: A CASE STUDY ON AUTONOMOUS CARS BY AMAL JOSE Btech Mechanical.
MGM’S COLLEGE OF ENGINEERING NANDED. Presented By: ALEEMUDDIN K.M T.E MECH ROLL NO:72 Guided By: A.I.RAHMAN SIR.
De la Roboti Mobili la Vehicole Electrice
VEMANA INSTITUTE OF TECHNOLOGY,BANGALORE
‘Adaptive Cruise Control’
On-board Technologies
Autonomous Robots Key questions in mobile robotics What is around me?
Case Study Autonomous Cars 9/21/2018.
PAVE & the DARPA Challenges
Properties of human stereo processing
Stereo Vision Applications
TUGS Jason Higuchi && Julia Yefimenko && Raudel mayorga
Vision based automated steering
A 175 mile “race” through the desert
Case Study Autonomous Cars 1/14/2019.
Google Self Driving Car
On-board Technologies
Artificial Intelligence
Presentation transcript:

AI and Autonomous Vehicles Daniel Landers COMP Intelligent and Interactive Systems 3/10/2007

History of Autonomous Vehicles 1977 – Tsukuba Mechanical Engineering Lab Achieved speeds of 20 mph on a dedicated street, by tracking special white markers on the road – Tsukuba Mechanical Engineering Lab Achieved speeds of 20 mph on a dedicated street, by tracking special white markers on the road.

History of Autonomous Vehicles 1980’s – Ernst Dickmanns at Bundeswehr Universitat Munchen A vision-guided Mercedes-Benz van achieved 60 mph on streets without any other traffic present. 1980’s – Ernst Dickmanns at Bundeswehr Universitat Munchen A vision-guided Mercedes-Benz van achieved 60 mph on streets without any other traffic present.

History of Autonomous Vehicles Ernst Dickmanns at Bundeswehr Universitat Munchen S-Class Mercedes-Benz achieved speeds of 110 mph on a 1000 mile trip Ernst Dickmanns at Bundeswehr Universitat Munchen S-Class Mercedes-Benz achieved speeds of 110 mph on a 1000 mile trip. Achieved 95% autonomous driving Achieved 95% autonomous driving

History of Autonomous Vehicles 1995 – CMU Navlab 1995 – CMU Navlab Achieved 98.2% autonomous driving on 3000 mile drive across the U.S. Achieved 98.2% autonomous driving on 3000 mile drive across the U.S. Throttle and brakes controlled by a human Throttle and brakes controlled by a human

Enter the Darpa Grand Challenge DARPA – Defense Advanced Research Projects Agency DARPA – Defense Advanced Research Projects Agency The U.S. Congress allotted 1 Million Dollars to the winner of the 2004 challenge. The U.S. Congress allotted 1 Million Dollars to the winner of the 2004 challenge. Nobody won! Nobody won! In 2005, the prize money was upped to 2 million. In 2005, the prize money was upped to 2 million.

It’s a hard problem!!! What is the Darpa Grand Challenge? What is the Darpa Grand Challenge? Why they have a qualifier! Why they have a qualifier!

2005 Grand Challenge October 8, 2005 October 8, 2005 Mojave Desert Mojave Desert 132 Miles (212.4 km) 132 Miles (212.4 km) 5 Autonomous Vehicles completed the course! 5 Autonomous Vehicles completed the course! Winner: Stanley from Stanford University Winner: Stanley from Stanford University Finished in 6 hours and 54 minutes. Averaged 19 mph on the course. Finished in 6 hours and 54 minutes. Averaged 19 mph on the course.

Stanley – Stanford Racing Team

The AI Behind It An Autonomous Vehicle is an autonomous agent. An Autonomous Vehicle is an autonomous agent. Consists of: Consists of: –Sensor Systems –Actuator Systems –Computation Systems

The AI Behind It (cont.) Sensors – Sense the surrounding environment and report. Sensors – Sense the surrounding environment and report. Examples: Examples: –Vision –Radar –Laser –Vehicle Sensors (Odometer, Fuel Gauge, Oil pressure, Engine Temperature)

The AI Behind It (cont.) Actuators – Acting upon the environment. Actuators – Acting upon the environment. Examples: Examples: –Steering –Gas / Throttle –Brakes –Vehicle Starting –Lights –Sirens

The AI Behind It (cont.) Computation – The brains which process sensor data and apply the correct actuation to achieve the goal. Computation – The brains which process sensor data and apply the correct actuation to achieve the goal. Tasks: Tasks: –Processing sensor input –Path planning –Actuator Manipulation

AI Case Study - Stanley Powered by seven Pentium M computers with battery power system. Powered by seven Pentium M computers with battery power system. Sensors: Sensors: –GPS –Inertial Measurement Unit –Wheel Speed Sensors –Laser Range Finders –Radar –Stereo Camera Pair / Monocular Vision Systems Actuator: Drive-by-wire system developed by Volkswagen (Steering, brake, and throttle actuators) Actuator: Drive-by-wire system developed by Volkswagen (Steering, brake, and throttle actuators)

Stanley Navigating Video

Sample tracking visualization from on-board computer

So, since Stanley did so well….. What’s Next?

DARPA Urban Challenge DARPA Urban Challenge November 3, 2007 November 3, miles 60 miles Urban area course Urban area course Must be completed in less than 6 hours Must be completed in less than 6 hours Must obey all traffic regulations, negotiate with other traffic, and merge into traffic. Must obey all traffic regulations, negotiate with other traffic, and merge into traffic.

Urban Challenge Basic Rules Vehicle must be stock or have a documented safety record. Vehicle must be stock or have a documented safety record. Vehicle must obey the California state driving laws. Vehicle must obey the California state driving laws. Vehicle must be entirely autonomous, using only GPS and the information it detects with its sensors. Vehicle must be entirely autonomous, using only GPS and the information it detects with its sensors.GPS DARPA will provide the route network 24 hours before the race starts. DARPA will provide the route network 24 hours before the race starts. Vehicles will complete the route by driving between specified checkpoints. Vehicles will complete the route by driving between specified checkpoints. DARPA will provide a file detailing the order the checkpoints must be driven to 5 minutes before the race start. DARPA will provide a file detailing the order the checkpoints must be driven to 5 minutes before the race start. Vehicles may “stop and stare” for at most 10 seconds. Vehicles may “stop and stare” for at most 10 seconds. Vehicles must operate in rain and fog, with GPS blocked. Vehicles must operate in rain and fog, with GPS blocked. Vehicles must avoid collision with vehicles and other objects such as carts, bicycles, traffic barrels, and objects in the environment such as utility poles. Vehicles must avoid collision with vehicles and other objects such as carts, bicycles, traffic barrels, and objects in the environment such as utility poles. Vehicles must be able to operate in parking areas and perform U-turns as required by the situation. Vehicles must be able to operate in parking areas and perform U-turns as required by the situation.

The new challenge… Other agents in the environment Other agents in the environment

References asp asp asp asp hallenge hallenge hallenge hallenge d/technology.html d/technology.html d/technology.html d/technology.html