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 4076–4100 of 6092 papers

TitleStatusHype
Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning—0
Experimental Insights Towards Explainable and Interpretable Pedestrian Crossing Prediction—0
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers—0
Explainability of deep vision-based autonomous driving systems: Review and challenges—0
Explainable Action Prediction through Self-Supervision on Scene Graphs—0
Explainable AI: current status and future directions—0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review—0
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Explainable artificial intelligence (XAI): from inherent explainability to large language models—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks—0
Explaining Autonomous Driving by Learning End-to-End Visual Attention—0
Explaining Autonomous Vehicles with Intention-aware Policy Graphs—0
Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic—0
Explanation for Trajectory Planning using Multi-modal Large Language Model for Autonomous Driving—0
Explanations in Autonomous Driving: A Survey—0
Explicit Domain Adaptation with Loosely Coupled Samples—0
Exploiting Alpha Transparency In Language And Vision-Based AI Systems—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation—0
Exploiting Semantic Information and Deep Matching for Optical Flow—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