CARLA is an open-source simulator for autonomous driving research. CARLA has been developed from the ground up to support development, training, and validation of autonomous urban driving systems. In addition to open-source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that were created for this purpose and can be used freely. The simulation platform supports flexible specification of sensor suites and environmental conditions.
- Play around with CarLa simulator in Unreal.
- Potentially add a Radar sensor.
- Test with NVIDIA Model for behavorial cloning project.
- Add mouse control for steering wheel.(It works better comparing to AWSD).