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 2381–2390 of 2605 papers

TitleStatusHype
Evaluation Uncertainty in Data-Driven Self-Driving Testing—0
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
Video Object Segmentation and Tracking: A Survey—0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis—0
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios—0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
Towards Safety Verification of Direct Perception Neural NetworksCode0
Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks—0
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning—0
A Systematic Literature Review about the impact of Artificial Intelligence on Autonomous Vehicle Safety—0
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Benchmark Results

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