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

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Showing 121–130 of 2605 papers

TitleStatusHype
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous DrivingCode1
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles—0
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach—0
Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems—0
HACTS: a Human-As-Copilot Teleoperation System for Robot Learning—0
Optimization of Layer Skipping and Frequency Scaling for Convolutional Neural Networks under Latency Constraint—0
A Benchmark for Vision-Centric HD Mapping by V2I Systems—0
Physics-Informed Adaptive Deep Koopman Operator Modeling for Autonomous Vehicle Dynamics—0
Uncertainty-Instructed Structure Injection for Generalizable HD Map ConstructionCode1
CLuP-Based Dual-Deconvolution in Automotive ISAC Scenarios—0
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Benchmark Results

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