70 citations · 70 across the 9 of their papers we have counts for
9 papers
Communication-Efficient Relative Pose Estimation with Vision Foundation Models for Ephemeral Collaborative Perception
Qihang Li, Jo-Hao Huang, Jiewen Liu +3
Relative pose estimation is a fundamental capability for collaborative perception and coordination in multi-robot systems. However, robots encountering each other in real-world env…
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Hong Huang, Dongkuan Xu, Hao Zhang +1
Egocentric pose estimation is a fundamental capability for multi-robot collaborative perception in connected autonomy, such as connected autonomous vehicles. During multi-robot ope…
Bandwidth-Adaptive Spatiotemporal Correspondence Identification for Collaborative Perception
Peng Gao, Williard Joshua Jose, Hao Zhang
Correspondence identification (CoID) is an essential capability in multi-robot collaborative perception, which enables a group of robots to consistently refer to the same objects w…
Coordinated Multi-Robot Navigation with Formation Adaptation
Zihao Deng, Peng Gao, Williard Joshua Jose +4
Coordinated multi-robot navigation is an essential ability for a team of robots operating in diverse environments. Robot teams often need to maintain specific formations, such as w…
Compositional Zero-Shot Learning for Attribute-Based Object Reference in Human-Robot Interaction
Peng Gao, Ahmed Jaafar, Brian Reily +2
Language-enabled robots have been widely studied over the past years to enable natural human-robot interaction and teaming in various real-world applications. Language-enabled robo…
OGMN: Occlusion-guided Multi-task Network for Object Detection in UAV Images
Xuexue Li, Wenhui Diao, Yongqiang Mao +4
Occlusion between objects is one of the overlooked challenges for object detection in UAV images. Due to the variable altitude and angle of UAVs, occlusion in UAV images happens mo…
Deep Masked Graph Matching for Correspondence Identification in Collaborative Perception
Peng Gao, Qingzhao Zhu, Hongsheng Lu +2
Correspondence identification (CoID) is an essential component for collaborative perception in multi-robot systems, such as connected autonomous vehicles. The goal of CoID is to id…
Asynchronous Collaborative Localization by Integrating Spatiotemporal Graph Learning with Model-Based Estimation
Peng Gao, Brian Reily, Rui Guo +3
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with r…
Multi-view Sensor Fusion by Integrating Model-based Estimation and Graph Learning for Collaborative Object Localization
Peng Gao, Rui Guo, Hongsheng Lu +1
Collaborative object localization aims to collaboratively estimate locations of objects observed from multiple views or perspectives, which is a critical ability for multi-agent sy…