SOTAVerified

Autonomous Driving

Autonomous driving is the task of driving a vehicle without human conduction.

Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.

(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)

Papers

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Showing 1276–1300 of 6092 papers

TitleStatusHype
LFP: Efficient and Accurate End-to-End Lane-Level Planning via Camera-LiDAR Fusion—0
A Survey on Large Language Model-empowered Autonomous Driving—0
OneBEV: Using One Panoramic Image for Bird's-Eye-View Semantic MappingCode1
LMT-Net: Lane Model Transformer Network for Automated HD Mapping from Sparse Vehicle Observations—0
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks—0
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance—0
Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous DrivingCode1
Exploiting Minority Pseudo-Labels for Semi-Supervised Semantic Segmentation in Autonomous Driving—0
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic—0
Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model—0
RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View—0
Annealed Winner-Takes-All for Motion ForecastingCode1
UltimateDO: An Efficient Framework to Marry Occupancy Prediction with 3D Object Detection via Channel2heightCode4
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving ScenariosCode1
Unleashing the Potential of Mamba: Boosting a LiDAR 3D Sparse Detector by Using Cross-Model Knowledge Distillation—0
TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection—0
High-Order Evolving Graphs for Enhanced Representation of Traffic DynamicsCode0
RenderWorld: World Model with Self-Supervised 3D Label—0
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving—0
XLM for Autonomous Driving Systems: A Comprehensive Review—0
CoMamba: Real-time Cooperative Perception Unlocked with State Space ModelsCode0
DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion—0
ExelMap: Explainable Element-based HD-Map Change Detection and Update—0
Robust Bird's Eye View Segmentation by Adapting DINOv2—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ReasonNetDriving Score79.95—Unverified
2InterFuserDriving Score76.18—Unverified
3TCPDriving Score75.14—Unverified
4TF++ WPDriving Score66.32—Unverified
5Learning From All Vehicles (LAV)Driving Score61.85—Unverified
6TransFuserDriving Score61.18—Unverified
7TransFuser (Reproduced)Driving Score55.04—Unverified
8TCP (Reproduced)Driving Score47.91—Unverified
9Latent TransFuserDriving Score45.2—Unverified
10GRIADDriving Score36.79—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC69.17—Unverified
2TransFuserRC56.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Geometric FusionRC86.91—Unverified
2TransFuserRC78.41—Unverified