most citedNetwork-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

27 citations · 29 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20242 cited

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance

Shuaihang Yuan, Hao Huang, Yu Hao +3

Zero-Shot Object Goal Navigation (ZS-OGN) enables robots or agents to navigate toward objects of unseen categories without object-specific training. Traditional approaches often le…

cs.RO2024

Reliable Semantic Understanding for Real World Zero-shot Object Goal Navigation

Halil Utku Unlu, Shuaihang Yuan, Congcong Wen +3

We introduce an innovative approach to advancing semantic understanding in zero-shot object goal navigation (ZS-OGN), enhancing the autonomy of robots in unfamiliar environments. T…

cs.RO2024

Exploring the Reliability of Foundation Model-Based Frontier Selection in Zero-Shot Object Goal Navigation

Shuaihang Yuan, Halil Utku Unlu, Hao Huang +3

In this paper, we present a novel method for reliable frontier selection in Zero-Shot Object Goal Navigation (ZS-OGN), enhancing robotic navigation systems with foundation models t…

eess.IV202127 cited

Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster

Zhongzheng Yuan, Tommy Azzino, Yu Hao +12

Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…

cs.CV20202 cited

Geometry-Aware Segmentation of Remote Sensing Images via Implicit Height Estimation

Xiang Li, Lingjing Wang, Yi Fang

Recent studies have shown the benefits of using additional elevation data (e.g., DSM) for enhancing the performance of the semantic segmentation of aerial images. However, previous…