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 4401–4425 of 6092 papers

TitleStatusHype
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance SystemsCode1
Federated Ensemble Model-based Reinforcement Learning in Edge Computing—0
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction—0
NEAT: Neural Attention Fields for End-to-End Autonomous DrivingCode1
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety—0
Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models—0
Spectrum Learning-Aided Reconfigurable Intelligent Surfaces for 'Green' 6G Networks—0
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous DrivingCode1
FBSNet: A Fast Bilateral Symmetrical Network for Real-Time Semantic SegmentationCode1
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving—0
Quantized Convolutional Neural Networks Through the Lens of Partial Differential Equations—0
SMAC-Seg: LiDAR Panoptic Segmentation via Sparse Multi-directional Attention Clustering—0
Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow—0
Unsupervised Monocular Depth Perception: Focusing on Moving ObjectsCode1
RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network—0
FOVEA: Foveated Image Magnification for Autonomous NavigationCode1
WAD: A Deep Reinforcement Learning Agent for Urban Autonomous Driving—0
A Pedestrian Detection and Tracking Framework for Autonomous Cars: Efficient Fusion of Camera and LiDAR Data—0
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous DrivingCode1
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
YOLOP: You Only Look Once for Panoptic Driving PerceptionCode1
Model-based Decision Making with Imagination for Autonomous ParkingCode1
A Benchmark for Spray from Nearby Cutting Vehicles—0
Graph Laplacian Diffusion Localization of Connected and Automated Vehicles—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