https://github.com/OpenPerceptionX/TCP
공식 코드Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Papers with Code 아카이브
CARLA longest6
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longest6 is an evaluation benchmark for sensorimotor autonomous driving methods using the CARLA 0.9.10.1 simulator. It consists of 36 long routes in the publicly available Town 01-06 which, are populated with the maximum traffic density. The benchmark tests level 4 driving capabilities, methods are therefore allowed to train with data from the evaluation towns. Evaluation metrics follow the standard metrics from the CARLA leaderboard 1.0, except that stop sign infractions are not considered.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/autonomousvision/CaRL
공식 코드CaRL: Learning Scalable Planning Policies with Simple Rewards
https://github.com/autonomousvision/carla_garage
공식 코드https://github.com/autonomousvision/neat
공식 코드NEAT: Neural Attention Fields for End-to-End Autonomous Driving
https://github.com/autonomousvision/plant
공식 코드PlanT: Explainable Planning Transformers via Object-Level Representations
https://github.com/autonomousvision/transfuser
공식 코드TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
https://github.com/dotchen/LAV
공식 코드https://github.com/dotchen/WorldOnRails
공식 코드https://github.com/fujiawei0724/interactionnet
공식 코드InteractionNet: Joint Planning and Prediction for Autonomous Driving with Transformers
https://github.com/h2xlab/CaT
공식 코드https://github.com/opendilab/InterFuser
공식 코드Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
https://github.com/opendrivelab/driveadapter
공식 코드https://github.com/opendrivelab/thinktwice
공식 코드Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
https://github.com/autonomousvision/navsim
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
https://github.com/pagand/e2etransfuser
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.