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 1281–1290 of 2605 papers

TitleStatusHype
Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems—0
Traffic Flow Simulation for Autonomous Driving—0
Adversarial Feature Map Pruning for BackdoorCode0
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Adversarial Attacks on Traffic Sign Recognition: A Survey—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Machine Learning for Autonomous Vehicle's Trajectory Prediction: A comprehensive survey, Challenges, and Future Research Directions—0
Estimating label quality and errors in semantic segmentation data via any model—0
Navigating Uncertainty: The Role of Short-Term Trajectory Prediction in Autonomous Vehicle SafetyCode0
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Benchmark Results

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