HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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日本語

HyperAI超神経

Bench2Drive On Bench2Drive

評価指標

Driving Score

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Driving Score	Paper Title	Repository
SparseDrive	44.54	SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation	-
GenAD	44.81	GenAD: Generative End-to-End Autonomous Driving	-
TCP-traj	59.90	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline	-
HiP-AD	86.77	HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder	-
DiffAD	67.92	DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving	-
UniAD-Base	45.81	Planning-oriented Autonomous Driving	-
TCP	40.70	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline	-
AD-MLP	18.05	Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving	-
DiFSD	52.02	DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving	-
TCP-ctrl	30.47	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline	-
VAD	42.35	VAD: Vectorized Scene Representation for Efficient Autonomous Driving	-
Hydra-NeXt	73.86	Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training	-
UniAD-Tiny	40.73	Planning-oriented Autonomous Driving	-
TransFuser++	84.21	Hidden Biases of End-to-End Driving Models	-
Drivetransformer-Large	63.46	DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving	-
SimLingo-Base (CarLLaVa)	85.94	CarLLaVA: Vision language models for camera-only closed-loop driving	-
DriveAdapter	64.22	DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving	-
ThinkTwice	62.44	Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving	-
TCP-traj w/o distillation	49.30	Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline	-

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