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 2126–2150 of 6092 papers

TitleStatusHype
Challenges of engineering safe and secure highly automated vehicles—0
Challenges in Designing Datasets and Validation for Autonomous Driving—0
Explaining Autonomous Vehicles with Intention-aware Policy Graphs—0
Explaining Autonomous Driving by Learning End-to-End Visual Attention—0
Challenger: Affordable Adversarial Driving Video Generation—0
Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks—0
A Practical Introduction to Deep Reinforcement Learning—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Explainable artificial intelligence (XAI): from inherent explainability to large language models—0
CFTrack: Center-based Radar and Camera Fusion for 3D Multi-Object Tracking—0
A Practical Cross-Device Federated Learning Framework over 5G Networks—0
AD-EE: Early Exiting for Fast and Reliable Vision-Language Models in Autonomous Driving—0
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach—0
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review—0
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games—0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
Explainable AI: current status and future directions—0
Explainable Action Prediction through Self-Supervision on Scene Graphs—0
Explainability of deep vision-based autonomous driving systems: Review and challenges—0
Certified Interpretability Robustness for Class Activation Mapping—0
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter—0
Experiments on Anomaly Detection in Autonomous Driving by Forward-Backward Style Transfers—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