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 2476–2500 of 6092 papers

TitleStatusHype
Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation MapsCode1
Flexible Multi-Generator Model with Fused Spatiotemporal Graph for Trajectory Prediction—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook—0
P2O-Calib: Camera-LiDAR Calibration Using Point-Pair Spatial Occlusion Relationship—0
Levels of AGI for Operationalizing Progress on the Path to AGI—0
OSM vs HD Maps: Map Representations for Trajectory Prediction—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode1
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsCode1
Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images—0
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving—0
DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning—0
Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms—0
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar—0
Efficient Vision Transformer for Accurate Traffic Sign Detection—0
LLM4Drive: A Survey of Large Language Models for Autonomous DrivingCode3
Conformal Policy Learning for Sensorimotor Control Under Distribution Shifts—0
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
Learning Cooperative Trajectory Representations for Motion ForecastingCode1
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators—0
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsCode1
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving—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