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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2010 of 2605 papers

TitleStatusHype
Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems—0
Reactive motion planning with probabilistic safety guarantees—0
Motion Prediction on Self-driving Cars: A Review—0
IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data—0
A Scenario-Based Development Framework for Autonomous Driving—0
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment—0
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection—0
Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning—0
Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data—0
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles—0
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Benchmark Results

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