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We will be making a Near Level-2 Autonomous Self-Driving Car.
The computer takes over multiple functions from the driver and are intelligent enough to weave speed and steering systems together using data source from the camera.
1. It takes over directional, throttle,U-turn system for one of the most advanced cruise control systems .
Using camera data to brake automatically for corners ahead, keeping a set distance from the car in front and setting off again when jams clear, with the driver idle.
Automatic traffic signal detection and take decisions accordingly
1. Raspberry Pi 3 B for master device config for all computations.
2. Arduino Uno for slave device setup to control motor control
3. L298 Dual H bridge for motor functioning.
4. Pi cam 8 Megapixels
1. OpenCV for object detection, Lane detection, traffic signal detection..
2. Raspbian stretch and VNC Viewer.
1. Near level-2 Autonomous self-driving car in very less cost.
2. Higher accuracy
1. Raspberry pi 3 and components: 5000
2. Pi-Camera and components: 1000
3. Arduino Uno : 600
4. Chassis and components: 2000
5. L298H Bridge : 300
6. Power bank : 550
7. PCB and components: 400
8. MOOC Courses : 1200
9. Miscellaneous costs: 1000
Total: 12050
1. Vidit Goyal
2. Om tiwari
3. Ishna Gupta
4. Nishat Anjum