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 1811–1820 of 2605 papers

TitleStatusHype
Fooling LiDAR Perception via Adversarial Trajectory PerturbationCode1
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point CloudCode1
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning—0
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
A Hybrid Queuing Model for Coordinated Vehicle Platooning on Mixed-Autonomy Highways: Training and Validation—0
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM—0
Revisiting Self-Supervised Monocular Depth EstimationCode0
From driving automation systems to autonomous vehicles: clarifying the terminology—0
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization—0
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Benchmark Results

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