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 3151–3175 of 6092 papers

TitleStatusHype
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving—0
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
Safe POMDP Online Planning via Shielding—0
Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning—0
Safe Reach Set Computation via Neural Barrier Certificates—0
Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts—0
Safe Reinforcement Learning for Autonomous Vehicles through Parallel Constrained Policy Optimization—0
Safe Reinforcement Learning with Probabilistic Control Barrier Functions for Ramp Merging—0
SAfER: Layer-Level Sensitivity Assessment for Efficient and Robust Neural Network Inference—0
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving—0
Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving—0
Safety Analysis of Autonomous Driving Systems Based on Model Learning—0
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—0
Safe Autonomous Racing via Approximate Reachability on Ego-vision—0
Safety Control with Preview Automaton—0
Safety-Critical Traffic Simulation with Guided Latent Diffusion Model—0
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving—0
USC: Uncompromising Spatial Constraints for Safety-Oriented 3D Object Detectors in Autonomous Driving—0
Safety Metrics for Semantic Segmentation in Autonomous Driving—0
Safety Verification of Model Based Reinforcement Learning Controllers—0
SalFAU-Net: Saliency Fusion Attention U-Net for Salient Object Detection—0
Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context—0
SAM2 for Image and Video Segmentation: A Comprehensive Survey—0
SAM4D: Segment Anything in Camera and LiDAR Streams—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