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 4391–4400 of 6092 papers

TitleStatusHype
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking—0
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal—0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels—0
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction—0
Neurosymbolic hybrid approach to driver collision warning—0
TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving—0
Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task—0
Lane detection with Position Embedding—0
Distributed Learning for Vehicular Dynamic Spectrum Access in Autonomous Driving—0
Dense Residual Networks for Gaze Mapping on Indian Roads—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