Collision Avoidance: Camera and Radar sensor fusion processing on NVIDIA Jetson TX2
Budget: $30 – $250 USD
!)Implement Object detection MobileNet-SSD model (already trained) alongside distance calculation, (already written script). Using ZED camera and Intel RealSense camera. 2)Additionally use a radar to detect objects, classify and distance calculation. 3)Objects under 20 Meters to alert the operator/ driver. By buz or colour border on screen. 4) Send/ Receive CAN status messages to vehicles . 5) The application must run on ROS2 and be containerised for easy deployment on other processors.
Related categories:
Python
Robotics
Computer Vision
Controller Area Network (CAN)
Robot Operating System (ROS)