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 1281–1290 of 2605 papers

TitleStatusHype
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios—0
Augmented Reality based Simulated Data (ARSim) with multi-view consistency for AV perception networks—0
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges—0
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks—0
Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic—0
Interaction-Aware Trajectory Prediction and Planning for Autonomous Vehicles in Forced Merge Scenarios—0
Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs—0
Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation—0
Interactive Decision Making for Autonomous Vehicles in Dense Traffic—0
Intelligent Autonomous Intersection Management—0
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Benchmark Results

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