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 351–360 of 2605 papers

TitleStatusHype
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles—0
Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in CrossroadsCode0
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models—0
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature IntegrationCode0
EDRF: Enhanced Driving Risk Field Based on Multimodal Trajectory Prediction and Its Applications—0
GUIDEd Agents: Enhancing Navigation Policies through Task-Specific Uncertainty Abstraction in Localization-Limited Environments—0
CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy TrafficCode1
Human Action Anticipation: A Survey—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
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Benchmark Results

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