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 2951–2975 of 6092 papers

TitleStatusHype
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry—0
HeightFormer: A Multilevel Interaction and Image-adaptive Classification-regression Network for Monocular Height Estimation with Aerial Images—0
HE-Drive: Human-Like End-to-End Driving with Vision Language Models—0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Lane Segmentation Refinement with Diffusion Models—0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images—0
Cross-domain Federated Object Detection—0
A Systematic Comparison of Deep Learning Architectures in an Autonomous Vehicle—0
LangOcc: Self-Supervised Open Vocabulary Occupancy Estimation via Volume Rendering—0
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks—0
Learning to Influence Human Behavior with Offline Reinforcement Learning—0
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving—0
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving—0
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation—0
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving—0
Heatmap-based Vanishing Point boosts Lane Detection—0
Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences—0
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection—0
Cross-Domain Car Detection Model with Integrated Convolutional Block Attention Mechanism—0
AEPHORA: AI/ML-Based Energy-Efficient Proactive Handover and Resource Allocation—0
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges—0
Large Language Models for Education: A Survey—0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—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