https://github.com/Kguo-cs/iPad
공식 코드iPad: Iterative Proposal-centric End-to-End Autonomous Driving
Papers with Code 아카이브
NavSim
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Data-Driven Non-Reactive Autonomous Vehicle Benchmark.
Evaluates autonomous driving stacks that produce waypoints with a static dataset using the PDM-Score metric. The PDM-score metric performs a pseudo-simulation by rolling out the trajectory and simulating all other actors via log-replay. This results in an open-loop evaluation that correlates with closed-loop performance.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/autonomousvision/navsim
공식 코드NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
https://github.com/autonomousvision/transfuser
공식 코드TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
https://github.com/bravegroup/law
공식 코드Enhancing End-to-End Autonomous Driving with Latent World Model
https://github.com/hustvl/diffusiondrive
공식 코드DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
https://github.com/hustvl/vad
공식 코드VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
https://github.com/kevin-thu/epona
공식 코드Epona: Autoregressive Diffusion World Model for Autonomous Driving
https://github.com/liyingyanucas/wote
공식 코드End-to-End Driving with Online Trajectory Evaluation via BEV World Model
https://github.com/nvlabs/gtrs
공식 코드Generalized Trajectory Scoring for End-to-end Multimodal Planning
https://github.com/nvlabs/hydra-mdp
공식 코드Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
https://github.com/opendrivelab/uniad
공식 코드https://github.com/woxihuanjiangguo/hydra-mdp
공식 코드Hydra-MDP: End-to-end Multimodal Planning with Multi-target Hydra-Distillation
https://github.com/woxihuanjiangguo/hydra-next
공식 코드Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training
https://github.com/yvanyin/goalflow
공식 코드https://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.