Develop a deep learning based full-scene recognition of vehicle environment from a vision sensor. Examples are vehicles, pedestrians, bicyclists, traffic signs, buildings, curbs, etc.
As a result of this research, a deep convolutional network architecture was developed that can distinguish between drivable and non-drivable (unsafe) areas using camera imaging. 200,000 of these annotated frames will be made public through MIT to inform further research.
This is a project in collaboration with Massachusetts Institute of Technology (MIT) Age Lab