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 2901–2925 of 6092 papers

TitleStatusHype
Lane Segmentation Refinement with Diffusion Models—0
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes—0
On the Relevance of Byzantine Robust Optimization Against Data Poisoning—0
GAD-Generative Learning for HD Map-Free Autonomous Driving—0
RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models—0
ADM: Accelerated Diffusion Model via Estimated Priors for Robust Motion Prediction under UncertaintiesCode0
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object DetectionCode0
STT: Stateful Tracking with Transformers for Autonomous Driving—0
Guiding Attention in End-to-End Driving ModelsCode0
G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction—0
ν-DBA: Neural Implicit Dense Bundle Adjustment Enables Image-Only Driving Scene Reconstruction—0
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty QuantificationCode0
Safe Reach Set Computation via Neural Barrier Certificates—0
Uncertainty-boosted Robust Video Activity AnticipationCode0
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation—0
BoostRad: Enhancing Object Detection by Boosting Radar Reflections—0
Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation—0
Multimodal Fusion on Low-quality Data: A Comprehensive Survey—0
Cost-Sensitive Uncertainty-Based Failure Recognition for Object DetectionCode0
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System—0
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey—0
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression—0
A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges—0
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving—0
LaneCorrect: Self-supervised Lane Detection—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