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 941–950 of 2605 papers

TitleStatusHype
Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles—0
Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios—0
On Data Fabrication in Collaborative Vehicular Perception: Attacks and CountermeasuresCode1
Electric Autonomous Mobility-on-Demand: Jointly Optimal Vehicle Design and Fleet Operation—0
Trip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning—0
SANPO: A Scene Understanding, Accessibility and Human Navigation Dataset—0
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning—0
Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles—0
Multi-Agent Deep Reinforcement Learning for Cooperative and Competitive Autonomous Vehicles using AutoDRIVE Ecosystem—0
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?—0
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Benchmark Results

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