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.
Source: Dosovitskiy et al.
Image source: Dosovitskiy et al.
Source: CARLA: An Open Urban Driving SimulatorPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
---|---|---|
Autonomous Driving | 150 | 22.59% |
Autonomous Vehicles | 55 | 8.28% |
Reinforcement Learning (RL) | 47 | 7.08% |
Imitation Learning | 40 | 6.02% |
Object Detection | 33 | 4.97% |
Semantic Segmentation | 24 | 3.61% |
Decision Making | 19 | 2.86% |
3D Object Detection | 12 | 1.81% |
Sensor Fusion | 11 | 1.66% |