Transcript Document
I-CAR Contents • Factors causing accidents and head on collision • Existing technologies • New technologies • Advantages and drawbacks • conclusion Factors 1. 2. 3. 4. Construction of roads Traffics Brake failure Discipline of pedestrians and drivers 5. Natural climatic conditions Construction of roads • Proper planning of roads(town-planning) • Quality of roads • Proper parking facilities on roads traffics • Control of traffic by more use of public transport • Proper traffic signal systems • Use of more sign boards • Speed limit in crowded areas • More use of foot paths by pedestrians Discipline • Educating and promoting traffic rules • Strict following of laws • Use of more zebra crossing • Driving discipline • Better quality of examination before issuing license • Natural climatic conditions-heavy rains, fog. Etc… • Regular maintenance of car Existing technologies • Parking sensors • Fog lamps • Increase in use of air bags-to save life after accident !!! • GPS systems • Cruise control New technologies • Radar technology • Intelligent systems (using AI) • Smart cruise control • Use of image processing Intelligent vehicle system use of image processing with AI Components: 1. Camera 2. Real time processor and associated circuit 3. Processor for AI 4. Display screen 5. Control interface 6. Memory image processing with AI Features: • uses Real time image processing(SigC641x and video co-processor card) • Uses branch of AI for pattern recognition • Uses planning and path finding algorithms(eg. Use of Dijkstra vs. A*) Selection of camera image processing with AI image processing with AI • Figure 1 (a) Stereo video camera. (b) Left image. (c) Right image. (d) Disparity map d(x,y) produced by stereo algorithm: brighter green means higher disparity and thus closer to camera; black pixels indicate no estimate at that location. • The disparity map clearly shows that the person in the images is closer to the camera than the walls behind him. image processing with AI Intelligent vehicle system use of millimeter wave radar with AI Components: • Millimeter wave radar • Interfacing circuits • Processor • Sensors • Display screen • Memory millimeter wave radar with AI Features: • Real time obstacle detection • Traffic density • Adaptive cruise control millimeter wave radar with AI millimeter wave radar with AI Artificial intelligence Artificial Intelligence Result Path Straight Path Typical A* Path Smooth Path 20 Drunk driving • Drawbacks of breath analyzer: 1. compounds found in lacquers, paint removers, celluloid, gasoline, and cleaning fluids, sensitive to temperature 2. electrical interference from cell phones and police radios, tobacco smoke, dirt, and moisture. • Solution: Branches of AI References • Introduction to AI robotics - robin R murphy • http://www2.potsdam.edu/hansondj/DrivingIssues/10 55505643.html • http://www.globaldenso.com/en/ • http://www.iaf.fraunhofer.de/en.html • Artificial Intelligence-Stuart Russel