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 |
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Autonomous Driving | 117 | 22.90% |
Reinforcement Learning (RL) | 43 | 8.41% |
Autonomous Vehicles | 41 | 8.02% |
Imitation Learning | 34 | 6.65% |
Object Detection | 27 | 5.28% |
Semantic Segmentation | 21 | 4.11% |
Decision Making | 17 | 3.33% |
3D Object Detection | 11 | 2.15% |
Depth Estimation | 8 | 1.57% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |