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 3601–3625 of 6092 papers

TitleStatusHype
Large Class Separation is not what you need for Relational Reasoning-based OOD DetectionCode0
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera—0
CILF:Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction—0
Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception—0
Miriam: Exploiting Elastic Kernels for Real-time Multi-DNN Inference on Edge GPU—0
Automotive Radar Mutual Interference Mitigation Based on Hough Transform in Time-Frequency Domain—0
PCG-based Static Underground Garage Scenario Generation—0
HoughLaneNet: Lane Detection with Deep Hough Transform and Dynamic Convolution—0
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target—0
Safety Shielding under Delayed ObservationCode0
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain—0
SUIT: Learning Significance-guided Information for 3D Temporal Detection—0
Separated RoadTopoFormer—0
Reliable AI: Does the Next Generation Require Quantum Computing?—0
SSC3OD: Sparsely Supervised Collaborative 3D Object Detection from LiDAR Point Clouds—0
Towards Explainable AI for Channel Estimation in Wireless Communications—0
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion—0
Effects of Explanation Specificity on Passengers in Autonomous Driving—0
Real-Time Fully Unsupervised Domain Adaptation for Lane Detection in Autonomous Driving—0
Robust Roadside Perception: an Automated Data Synthesis Pipeline Minimizing Human Annotation—0
MotionTrack: End-to-End Transformer-based Multi-Object Tracing with LiDAR-Camera Fusion—0
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning—0
Fine-grained 3D object recognition: an approach and experiments—0
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous DrivingCode0
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction 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