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 3326–3350 of 6092 papers

TitleStatusHype
Cooperative Perception with Learning-Based V2V communications—0
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges—0
Lateral control for autonomous vehicles: A comparative evaluation—0
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks—0
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer—0
Refining the ONCE Benchmark with Hyperparameter Tuning—0
Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey—0
Multi-Agent Quantum Reinforcement Learning using Evolutionary OptimizationCode0
PRED: Pre-training via Semantic Rendering on LiDAR Point CloudsCode0
FFINet: Future Feedback Interaction Network for Motion Forecasting—0
Image Patch-Matching with Graph-Based Learning in Street Scenes—0
AGNES: Abstraction-guided Framework for Deep Neural Networks Security—0
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
OSM vs HD Maps: Map Representations for Trajectory Prediction—0
Levels of AGI for Operationalizing Progress on the Path to AGI—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
P2O-Calib: Camera-LiDAR Calibration Using Point-Pair Spatial Occlusion Relationship—0
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
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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