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 501–525 of 6092 papers

TitleStatusHype
Finetuning Generative Trajectory Model with Reinforcement Learning from Human Feedback—0
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario UnderstandingCode2
GS-SDF: LiDAR-Augmented Gaussian Splatting and Neural SDF for Geometrically Consistent Rendering and ReconstructionCode3
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving—0
Dual-Domain Homogeneous Fusion with Cross-Modal Mamba and Progressive Decoder for 3D Object Detection—0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latant Space—0
Post-interactive Multimodal Trajectory Prediction for Autonomous Driving—0
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentCode3
Hybrid Rendering for Multimodal Autonomous Driving: Merging Neural and Physics-Based Simulation—0
LiSu: A Dataset and Method for LiDAR Surface Normal EstimationCode1
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive ApplicationsCode1
JiSAM: Alleviate Labeling Burden and Corner Case Problems in Autonomous Driving via Minimal Real-World Data—0
Simulating Automotive Radar with Lidar and Camera Inputs—0
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback—0
Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems—0
V-Max: A Reinforcement Learning Framework for Autonomous DrivingCode2
Simulator Ensembles for Trustworthy Autonomous Driving Testing—0
HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderCode2
CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous DrivingCode1
GM-MoE: Low-Light Enhancement with Gated-Mechanism Mixture-of-Experts—0
Chameleon: Fast-slow Neuro-symbolic Lane Topology ExtractionCode2
LEGO-Motion: Learning-Enhanced Grids with Occupancy Instance Modeling for Class-Agnostic Motion Prediction—0
AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and ReasoningCode3
HisTrackMap: Global Vectorized High-Definition Map Construction via History Map Tracking—0
Show:102550
← PrevPage 21 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