We are building autonomous robots for food delivery. To accomplish our goal we are using Deep Learning for various tasks such as:
- Autonomous Driving using the DriveNet architecture
- Object Detection using MobileNets
- Event Detection using CNNs to classify events such as Street Crossing, Wall Crash, Fall, Sidewalk Driving, etc.
We code the project in Python using TensorFlow, run it in a Jetson TX2 and optimize with TensorRT.
