7 citations · 7 across the 7 of their papers we have counts for
7 papers
SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment
Pengyu Chen, Haotian Sa, Yiwei Hu +2
Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents significant challenges, including extremely low pixel occupancy, cluttered aerial ba…
FG-TreeSeg: Flow-Guided Tree Crown Segmentation without Instance Annotations
Pengyu Chen, Fangzheng Lyu, Sicheng Wang +1
Individual tree crown segmentation is an important task in remote sensing for forest biomass estimation and ecological monitoring. However, accurate delineation in dense, overlappi…
CoDrone: Autonomous Drone Navigation Assisted by Edge and Cloud Foundation Models
Pengyu Chen, Tao Ouyang, Ke Luo +2
Autonomous navigation for Unmanned Aerial Vehicles faces key challenges from limited onboard computational resources, which restrict deployed deep neural networks to shallow archit…
Cross-Modal Urban Sensing: Evaluating Sound-Vision Alignment Across Street-Level and Aerial Imagery
Pengyu Chen, Xiao Huang, Teng Fei +1
Environmental soundscapes convey substantial ecological and social information regarding urban environments; however, their potential remains largely untapped in large-scale geogra…
A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery
Pengyu Chen, Sicheng Wang, Cuizhen Wang +4
Precise detection of rooftops from historical aerial imagery is essential for analyzing long-term urban development and human settlement patterns. Nonetheless, black-and-white anal…
Intelligent bear deterrence system based on computer vision: Reducing human-bear conflicts in remote areas
Pengyu Chen, Teng Fei, John A. Kupfer +3
Human-bear conflicts on the Tibetan Plateau threaten both local livelihoods and the conservation of Tibetan brown bears (Ursus arctos pruinosus). To address this challenge, we deve…
Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites
Khashayar Asadi, Pengyu Chen, Kevin Han +2
Camera-equipped unmanned vehicles (UVs) have received a lot of attention in data collection for construction monitoring applications. To develop an autonomous platform, the UV shou…