Yuxiang Guan — accepted AI-conference papers

2023

FlowMap: Path Generation for Automated Vehicles in Open Space Using Traffic Flow

Wenchao Ding, Jieru Zhao, Yubin Chu, Haihui Huang, Tong Qin, Chunjing Xu +2

ICRA 2023poster

There is extensive literature on perceiving road structures by fusing various sensor inputs such as lidar point clouds and camera images using deep neural nets. Leveraging the latest advance of neural architects (such as transformers) and bird-eye-view (BEV) representation, the road cognition accura…

Cited by 4 Source ↗Scholar ↗

2020

Generating Alerts to Assist With Task Assignments in Human-Supervised Multi-Robot Teams Operating in Challenging Environments

Sarah Al-Hussaini, Jason M. Gregory, Yuxiang Guan, Satyandra K. Gupta

IROS 2020poster

In a mission with considerable uncertainty due to intermittent communications, degraded information flow, and failures, humans need to assess both the current and expected future states, and update task assignments to robots as quickly as possible. We present a forward simulation-based alert system…

Cited by 18 Source ↗Scholar ↗