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 711–720 of 2605 papers

TitleStatusHype
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field—0
Are you a robot? Detecting Autonomous Vehicles from Behavior Analysis—0
CMP: Cooperative Motion Prediction with Multi-Agent Communication—0
A Review of Autonomous Road Vehicle Integrated Approaches to an Emergency Obstacle Avoidance Maneuver—0
Aerial Imagery based LIDAR Localization for Autonomous Vehicles—0
Action and intention recognition of pedestrians in urban traffic—0
5G enabled Mobile Edge Computing security for Autonomous Vehicles—0
ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous Vehicles—0
CLuP-Based Dual-Deconvolution in Automotive ISAC Scenarios—0
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Benchmark Results

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