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 721–730 of 2605 papers

TitleStatusHype
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations—0
Critical Example Mining for Vehicle Trajectory Prediction using Flow-based Generative Models—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
Human Action Anticipation: A Survey—0
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation—0
Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed-Human-Automated TrafficCode0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space—0
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Benchmark Results

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