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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1551–1575 of 6092 papers

TitleStatusHype
BLOS-BEV: Navigation Map Enhanced Lane Segmentation Network, Beyond Line of Sight—0
MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps—0
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous DrivingCode2
Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving—0
CLEO: Continual Learning of Evolving Ontologies—0
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement LearningCode1
Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors—0
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow EstimationCode1
NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving—0
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving—0
Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control—0
RoBus: A Multimodal Dataset for Controllable Road Networks and Building Layouts GenerationCode1
Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Event-Aided Time-to-Collision Estimation for Autonomous Driving—0
Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction—0
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation—0
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation—0
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework—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