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 5976–6000 of 6092 papers

TitleStatusHype
Learning-based Autonomous Oversteer Control and Collision Avoidance—0
Learning-based Multi-View Stereo: A Survey—0
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression—0
Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation—0
Learning Content-Aware Multi-Modal Joint Input Pruning via Bird's-Eye-View Representation—0
Learning a Decision Module by Imitating Driver's Control Behaviors—0
Exploring Contextual Representation and Multi-Modality for End-to-End Autonomous Driving—0
Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving—0
Learning Feasibility Constraints for Control Barrier Functions—0
LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models—0
Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling—0
Learning from Maps: Visual Common Sense for Autonomous Driving—0
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
Learning Grammar of Complex Activities via Deep Neural Networks—0
Learning Human Dynamics in Autonomous Driving Scenarios—0
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation—0
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning—0
Learning Isometric Embeddings of Road Networks using Multidimensional Scaling—0
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention—0
Learning Navigation Costs from Demonstration with Semantic Observations—0
Learning Navigation Costs from Demonstrations with Semantic Observations—0
Learning Object-specific Distance from a Monocular Image—0
Learning Off-Road Terrain Traversability with Self-Supervisions Only—0
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors—0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—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