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 1461–1470 of 2605 papers

TitleStatusHype
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review—0
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges—0
Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification—0
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance—0
Redefining Safety for Autonomous Vehicles—0
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services—0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning—0
Region-Transformer: Self-Attention Region Based Class-Agnostic Point Cloud Segmentation—0
Regulating human control over autonomous systems—0
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Benchmark Results

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