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 4251–4275 of 6092 papers

TitleStatusHype
Human Performance Capture from Monocular Video in the WildCode1
Medial Spectral Coordinates for 3D Shape Analysis—0
MegLoc: A Robust and Accurate Visual Localization Pipeline—0
Uncertainty Aware Proposal Segmentation for Unknown Object Detection—0
Consensus Synergizes with Memory: A Simple Approach for Anomaly Segmentation in Urban Scenes—0
Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the WildCode1
Independent Learning in Stochastic Games—0
Attention for Adversarial Attacks: Learning from your Mistakes—0
Monocular Road Planar Parallax Estimation—0
Backdoor Attack through Frequency DomainCode0
Towards Safe, Explainable, and Regulated Autonomous Driving—0
Panoptic Segmentation: A ReviewCode1
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic SegmentationCode1
Unsupervised Visual Time-Series Representation Learning and Clustering—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving—0
Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level EstimationCode1
Learning Robust Output Control Barrier Functions from Safe Expert DemonstrationsCode1
Assisted Robust Reward Design—0
Lidar with Velocity: Correcting Moving Objects Point Cloud Distortion from Oscillating Scanning Lidars by Fusion with CameraCode1
GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving—0
Switching Recurrent Kalman Networks—0
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion—0
An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots—0
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation—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