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 241–250 of 2605 papers

TitleStatusHype
Human-compatible driving partners through data-regularized self-play reinforcement learningCode1
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
Graph Neural Networks in IoT: A SurveyCode1
Finding Failures in High-Fidelity Simulation using Adaptive Stress Testing and the Backward AlgorithmCode1
A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic AccidentsCode1
A reinforcement learning path planning approach for range-only underwater target localization with autonomous vehiclesCode1
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided ModelingCode1
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous DrivingCode1
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
AVP-SLAM: Semantic Visual Mapping and Localization for Autonomous Vehicles in the Parking LotCode1
Show:102550
← PrevPage 25 of 261Next →

Benchmark Results

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