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 301–310 of 2605 papers

TitleStatusHype
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
A system of vision sensor based deep neural networks for complex driving scene analysis in support of crash risk assessment and preventionCode1
A Shared Representation for Photorealistic Driving SimulatorsCode1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
Fast and Efficient Transformer-based Method for Bird's Eye View Instance PredictionCode1
Fast and Robust Registration of Partially Overlapping Point CloudsCode1
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital TwinsCode1
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control ApproachCode1
Federated Deep Reinforcement Learning for the Distributed Control of NextG Wireless NetworksCode1
Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?Code1
Show:102550
← PrevPage 31 of 261Next →

Benchmark Results

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