Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 20, 2026DronesOpen Access

Research on Multi-Source Heterogeneous Collaborative Perception System Based on Unmanned Aerial Vehicle and Unmanned Ground Vehicle

View Full Paper
Ask AI
Bookmark
Share

Authors

LYLi YufengETErming TianXCXiaofeng Chen

Discussion

Loading...

Member takes

Overview

Randomized trial explores enhanced 3D object perception in autonomous vehicles, suggesting improved accuracy in complex urban environments.

Key Points

  • This research aims to enhance environmental perception in unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) by developing a collaborative perception system.
  • Developed a cross-platform feature fusion method for 3D object perception and map updating.
  • Implemented a dynamic SLAM method integrating YOLOv8 with ORB-SLAM3 for UGVs.
  • Created an air-ground fusion model utilizing cross-attention mechanisms for feature unification across platforms.
  • Improved mean Average Precision (mAP) by 12.7% compared to a single UAV and 15.7% compared to a single UGV under occlusion scenarios.
  • Increased map accuracy F1-score by 0.21, demonstrating enhanced mapping capabilities.

Cite This Study

Yufeng et al. (2026) studied this question.

synapsesocial.com/papers/6a36306fdb0793dc1a53794dhttps://doi.org/10.3390/drones10060470
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection2024
  2. 2Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?2025
  3. 3Collaborative Optimization of Multi Modal Sensing Fusion and Visual Navigation2025
  4. 4UGV Swarm Multi-View Fusion Under Occlusion: A Graph-Based Calibration-Free Framework2026
  5. 5Robust Spatial Georeferencing for UAV-UGV Mobile Mapping Platforms in Urban Canyons via Asymmetric GNSS/UWB Fusion2026