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

Showing 18511875 of 2605 papers

TitleStatusHype
Validation of Enhanced Emotion Enabled Cognitive Agent Using Virtual Overlay Multi-Agent System Approach0
VANETs Meet Autonomous Vehicles: A Multimodal 3D Environment Learning Approach0
Variational Monocular Depth Estimation for Reliability Prediction0
Variation of Camera Parameters due to Common Physical Changes in Focal Length and Camera Pose0
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection0
Vehicle Communication using Hash Chain-based Secure Cluster0
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways0
Vehicle-Human Interactive Behaviors in Emergency: Data Extraction from Traffic Accident Videos0
Vehicle Motion Forecasting using Prior Information and Semantic-assisted Occupancy Grid Maps0
Vehicles Lane-changing Behavior Detection0
Vehicle State Estimation and Prediction0
Vehicular Behavior-Aware Beamforming Design for Integrated Sensing and Communication Systems0
Vehicular Resilient Control Strategy for a Platoon of Self-Driving Vehicles under DoS Attack0
Velocity Driven Vision: Asynchronous Sensor Fusion Birds Eye View Models for Autonomous Vehicles0
Verification and Validation of Autonomous Systems0
Video action recognition for lane-change classification and prediction of surrounding vehicles0
Video Object Segmentation and Tracking: A Survey0
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection0
ViLDAR - Visible Light Sensing Based Speed Estimation using Vehicle's Headlamps0
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network0
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards0
Vision-based Perception for Autonomous Vehicles in Obstacle Avoidance Scenarios0
Vision-Language-Action Models: Concepts, Progress, Applications and Challenges0
Vision-Language Models for Edge Networks: A Comprehensive Survey0
Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving0
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Benchmark Results

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