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 1741–1750 of 2605 papers

TitleStatusHype
UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image—0
How to Build a Curb Dataset with LiDAR Data for Autonomous Driving—0
Semantic Image Alignment for Vehicle Localization—0
Benchmarking Safety Monitors for Image Classifiers with Machine LearningCode0
Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments—0
Motion Planning for Autonomous Vehicles in the Presence of Uncertainty Using Reinforcement Learning—0
Finite Time Exact Quantized Average Consensus with Limited Resources and Transmission Stopping for Energy-Aware Networks—0
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance—0
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation—0
Causal Scene BERT: Improving object detection by searching for challenging groups—0
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Benchmark Results

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