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 1151–1160 of 2605 papers

TitleStatusHype
Physical Adversarial Examples for Multi-Camera Systems—0
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning—0
Lateral control for autonomous vehicles: A comparative evaluation—0
Investigating Robustness in Cyber-Physical Systems: Specification-Centric Analysis in the face of System Deviations—0
Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data—0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach—0
Trajectories and Platoon-forming Algorithm for Intersections with Heterogeneous Autonomous Traffic—0
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference—0
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging EnvironmentsCode0
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Benchmark Results

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