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 741–750 of 2605 papers

TitleStatusHype
Enhancement of High-definition Map Update Service Through Coverage-aware and Reinforcement Learning—0
Driving Everywhere with Large Language Model Policy Adaptation—0
AINS: Affordable Indoor Navigation Solution via Line Color Identification Using Mono-Camera for Autonomous Vehicles—0
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication—0
Robust Data-EnablEd Predictive Leading Cruise Control via Reachability Analysis—0
AoSRNet: All-in-One Scene Recovery Networks via Multi-knowledge IntegrationCode1
SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous DrivingCode3
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity—0
Can you see me now? Blind spot estimation for autonomous vehicles using scenario-based simulation with random reference sensors—0
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Benchmark Results

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