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 1831–1840 of 2605 papers

TitleStatusHype
Multi-Node Vehicular Wireless Channels: Measurements, Large Vehicle Modelling, and Hardware-in-the-Loop Evaluation—0
An Image-based Approach of Task-driven Driving Scene Categorization—0
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial AttackCode1
Explanations in Autonomous Driving: A Survey—0
CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes—0
Split Computing and Early Exiting for Deep Learning Applications: Survey and Research ChallengesCode1
Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review—0
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning—0
SSTN: Self-Supervised Domain Adaptation Thermal Object Detection for Autonomous Driving—0
Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions—0
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Benchmark Results

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