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 791–800 of 2605 papers

TitleStatusHype
RainSD: Rain Style Diversification Module for Image Synthesis Enhancement using Feature-Level Style Distribution—0
TPatch: A Triggered Physical Adversarial PatchCode1
Risk of Cascading Collisions in Network of Vehicles with Delayed Communication—0
Attack Tree Analysis for Adversarial Evasion Attacks—0
Risk-anticipatory autonomous driving strategies considering vehicles' weights, based on hierarchical deep reinforcement learning—0
In-Lab Implementation of DSRC PHY Layer—0
Efficient Reinforcement Learning via Decoupling Exploration and UtilizationCode1
Social-Transmotion: Promptable Human Trajectory PredictionCode1
End-to-End 3D Object Detection using LiDAR Point Cloud—0
Measuring Value Alignment—0
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Benchmark Results

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