Lyuyu Shen — accepted AI-conference papers

2021

Group Multi-Object Tracking for Dynamic Risk Map and Safe Path Planning

Lyuyu Shen, Hongliang Guo, Yechao Bai, Lei Qin, Marcelo Ang, Daniela Rus

IROS 2021poster

This paper studies the group multi-object tracking (MOT) problem in dynamic pedestrian environments, with intended application to safe navigation for autonomous vehicles. We complete a full autonomous vehicle navigation pipeline from object detection, tracking, grouping, to risk map generation and s…

Cited by 5 Source ↗Scholar ↗

2021

Multi-Scale Feature Aggregation by Cross-Scale Pixel-to-Region Relation Operation for Semantic Segmentation

Yechao Bai, Ziyuan Huang, Lyuyu Shen, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus

RA-L 2021

Exploiting multi-scale features has shown great potential in tackling semantic segmentation problems. The aggregation is commonly done with sum or concatenation (concat) followed by convolutional (conv) layers. However, it fully passes down the high-level context to the following hierarchy without c

Cited by 4 Source ↗Scholar ↗