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 901–910 of 2605 papers

TitleStatusHype
K-SMPC: Koopman Operator-Based Stochastic Model Predictive Control for Enhanced Lateral Control of Autonomous Vehicles—0
Eco-Driving Control of Connected and Automated Vehicles using Neural Network based Rollout—0
Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models—0
Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles—0
DUSA: Decoupled Unsupervised Sim2Real Adaptation for Vehicle-to-Everything Collaborative PerceptionCode1
Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic—0
Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways—0
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition—0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion—0
Towards Long-Range 3D Object Detection for Autonomous Vehicles—0
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Benchmark Results

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