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 201–225 of 6092 papers

TitleStatusHype
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
A Simulation Benchmark for Autonomous Racing with Large-Scale Human DataCode2
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation MasksCode2
Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model ConversionCode2
WayveScenes101: A Dataset and Benchmark for Novel View Synthesis in Autonomous DrivingCode2
Exploring the Causality of End-to-End Autonomous DrivingCode2
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature AttentionCode2
4D Contrastive Superflows are Dense 3D Representation LearnersCode2
BEVWorld: A Multimodal World Model for Autonomous Driving via Unified BEV Latent SpaceCode2
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion ModelsCode2
Solving Motion Planning Tasks with a Scalable Generative ModelCode2
SeFlow: A Self-Supervised Scene Flow Method in Autonomous DrivingCode2
SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point CloudCode2
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
Asynchronous Large Language Model Enhanced Planner for Autonomous DrivingCode2
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving ApplicationsCode2
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object DetectionCode2
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy NetworkCode2
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesCode2
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of VehiclesCode2
OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous DrivingCode2
Autonomous Driving with Spiking Neural NetworksCode2
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous DrivingCode2
MultiOOD: Scaling Out-of-Distribution Detection for Multiple ModalitiesCode2
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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