SOTAVerified

Autonomous Vehicles

Autonomous vehicles is the task of making a vehicle that can guide itself 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: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1961–1970 of 2605 papers

TitleStatusHype
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning—0
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles—0
Shape Back-Projection In 3D Scenes—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
Video action recognition for lane-change classification and prediction of surrounding vehicles—0
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN—0
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots—0
Channel Boosting Feature Ensemble for Radar-based Object Detection—0
Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing—0
Approaching Neural Network Uncertainty Realism—0
Show:102550
← PrevPage 197 of 261Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BAAMA3DP22.85—Unverified
2GSNetA3DP20.21—Unverified