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 1481–1490 of 2605 papers

TitleStatusHype
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming—0
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies—0
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility—0
Audiovisual Affect Assessment and Autonomous Automobiles: Applications—0
Grounding Commands for Autonomous Vehicles via Layer Fusion with Region-specific Dynamic Layer Attention—0
Moral Dilemmas for Moral Machines—0
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with TransformersCode2
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review—0
Reconfigurable Intelligent Surface-Aided Joint Radar and Covert Communications: Fundamentals, Optimization, and Challenges—0
Important Object Identification with Semi-Supervised Learning for Autonomous Driving—0
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Benchmark Results

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