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 1001–1025 of 6092 papers

TitleStatusHype
Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle PerceptionCode1
Predicting Driver Attention in Critical SituationsCode1
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous DrivingCode1
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose EstimationCode1
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud FusionCode1
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous DrivingCode1
DSTIGCN: Deformable Spatial-Temporal Interaction Graph Convolution Network for Pedestrian Trajectory PredictionCode1
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
Probabilistic Jacobian-based Saliency Maps AttacksCode1
Probing Multimodal LLMs as World Models for DrivingCode1
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge TransferCode1
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View TransformationCode1
Driving Style Alignment for LLM-powered Driver AgentCode1
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous DrivingCode1
DualAD: Dual-Layer Planning for Reasoning in Autonomous DrivingCode1
Constrained Generalized Additive 2 Model with Consideration of High-Order InteractionsCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and ChallengesCode1
Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous DrivingCode1
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous DrivingCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
DriveTester: A Unified Platform for Simulation-Based Autonomous Driving TestingCode1
DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion GenerationCode1
DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving ScenesCode1
Dream to Drive with Predictive Individual World ModelCode1
Show:102550
← PrevPage 41 of 244Next →
All datasetsCARLA LeaderboardTown05 LongTown05 Short

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