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 3101–3125 of 6092 papers

TitleStatusHype
Applications of Large Scale Foundation Models for Autonomous Driving—0
Applying Semantic Segmentation to Autonomous Cars in the Snowy Environment—0
Approximate Inverse Reinforcement Learning from Vision-based Imitation Learning—0
Approximate Predictive Control Barrier Functions using Neural Networks: A Computationally Cheap and Permissive Safety Filter—0
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games—0
A Practical Cross-Device Federated Learning Framework over 5G Networks—0
A Practical Introduction to Deep Reinforcement Learning—0
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception—0
A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain—0
Arbitrary Angle of Arrival in Radar Target Simulation—0
Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization—0
Architecture-agnostic Iterative Black-box Certified Defense against Adversarial Patches—0
Are all outliers alike? On Understanding the Diversity of Outliers for Detecting OODs—0
Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports—0
A re-calibration method for object detection with multi-modal alignment bias in autonomous driving—0
ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving—0
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap—0
A Review of Adversarial Attacks in Computer Vision—0
A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving—0
A Review of Visual Odometry Methods and Its Applications for Autonomous Driving—0
A Review on Multisensor Data Fusion for Wearable Health Monitoring—0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators—0
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study—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