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 561–570 of 2605 papers

TitleStatusHype
3D Point Cloud Processing and Learning for Autonomous Driving—0
Boosting LiDAR-based Semantic Labeling by Cross-Modal Training Data Generation—0
Blending Data-Driven Priors in Dynamic Games—0
An Indian Roads Dataset for Supported and Suspended Traffic Lights Detection—0
Black-box Adversarial Attacks in Autonomous Vehicle Technology—0
An Image-based Approach of Task-driven Driving Scene Categorization—0
Coverage based testing for V&V and Safety Assurance of Self-driving Autonomous Vehicles: A Systematic Literature Review—0
Angle of Arrival Estimation with Transformer: A Sparse and Gridless Method with Zero-Shot Capability—0
Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks—0
Bilateral Deep Reinforcement Learning Approach for Better-than-human Car Following Model—0
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Benchmark Results

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