I-CAR SHAH AND ANCHHOR KUTCHHI ENGINEERING COLLEGE Second Year Electronics Department Team members: 1. Rahul Gala 2. Jigar Dedhia 3. Keval Vora
I-CAR
SHAH AND ANCHHOR KUTCHHI ENGINEERING
COLLEGE
Second Year Electronics Department
Team members: 1. Rahul Gala
2. Jigar Dedhia
3. Keval Vora
Contents
• Factors causing accidents
and head on collision
• Existing technologies
• New technologies
• Advantages and
drawbacks
• conclusion
Factors1. Construction of roads
2. Traffics
3. Brake failure
4. 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 systemuse 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 systemuse 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
Artificial intelligence
Artificial Intelligence
19
Result Path
Typical A* Path
Straight Path
Smooth Path
Drunk driving
• Drawbacks of breath analyzer:
1. compounds found inlacquers, paintremovers, celluloid, gasoline, and cleaning fluids, sensitive totemperature
2. electrical interference from cellphones and policeradios, tobaccosmoke, 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