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 2126–2150 of 6092 papers

TitleStatusHype
EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous DrivingCode1
EAN-MapNet: Efficient Vectorized HD Map Construction with Anchor Neighborhoods—0
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging—0
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving ScenesCode0
Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems—0
Enhancing Roadway Safety: LiDAR-based Tree Clearance Analysis—0
PiShield: A PyTorch Package for Learning with Requirements—0
ICP-Flow: LiDAR Scene Flow Estimation with ICPCode2
Leveraging Enhanced Queries of Point Sets for Vectorized Map ConstructionCode3
An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains—0
QoS prediction in radio vehicular environments via prior user information—0
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data—0
Reinforcement Learning Based Oscillation Dampening: Scaling up Single-Agent RL algorithms to a 100 AV highway field operational test—0
SeqTrack3D: Exploring Sequence Information for Robust 3D Point Cloud TrackingCode1
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust—0
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics—0
Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving—0
Detection Is Tracking: Point Cloud Multi-Sweep Deep Learning Models Revisited—0
Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data—0
Uniformly Safe RL with Objective Suppression for Multi-Constraint Safety-Critical Applications—0
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving—0
EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
Path Planning based on 2D Object Bounding-box—0
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration 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