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 23712380 of 2605 papers

TitleStatusHype
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances0
Forward Vehicle Collision Warning Based on Quick Camera Calibration0
Experience: Understanding Long-Term Evolving Patterns of Shared Electric Vehicle Networks0
LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and TrackingCode0
Video Object Segmentation and Tracking: A Survey0
Evaluation Uncertainty in Data-Driven Self-Driving Testing0
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis0
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios0
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous DrivingCode0
Towards Safety Verification of Direct Perception Neural NetworksCode0
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Benchmark Results

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