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 1901–1910 of 2605 papers

TitleStatusHype
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
Increasing the Efficiency of Policy Learning for Autonomous Vehicles by Multi-Task Representation Learning—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
There and Back Again: Self-supervised Multispectral Correspondence Estimation—0
A Robust Road Vanishing Point Detection Adapted to the Real-World Driving ScenesCode0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection—0
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety CagesCode0
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Benchmark Results

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