Ying Tan
10 Papers
1 Citations
Ying Tan is an academic researcher. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 1 publications.
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Papers
Informable Multi-Objective and Multi-Directional RRT* System for Robot Path Planning
Jiunn-Kai Huang,Ying Tan,Dongmyeong Lee,Vishnu R. Desaraju,Jessy W. Grizzle +4 more
- 30 May 2022
TL;DR: This work proposes an anytime iterative system to concurrently solve the multi-objective path planning problem and determine the visiting order of destinations and shows that the proposed system can inherently incorporate such knowledge, and can navigate through challenging topology.
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Task-Driven Formation of Nonholonomic Vehicles With Communication Constraints
TL;DR: In this paper , the authors developed a task-driven formation framework in the presence of communication constraints for a group of nonholonomic mobile vehicles, where a cost function characterizes both the task-related and the communication constraint related costs followed by a newly defined concept of compatible task and communication constraints.
4
Research on Scheme and Technology for Mobile User’s Trajectory Privacy Protection
Ying Tan
- 08 Mar 2019
Abstract: With the development of positioning technologies and wireless communication equipment, the application of location based services is becoming more and more extensive, and a large amount of user mobile trajectory data has been generated. While people enjoy the convenient services brought by these technologies, their own trajectory privacy is also facing great security threats. The article describes and summarizes the system structure, protection scheme, and protection technology in track privacy protection, analyzes and compares it, and points out the future research direction of trajectory privacy protection.
2
Optimization of Directional Landmark Deployment for Visual Observer on SE(3)
Zike Lei,Xi Chen,Ying Tan,Xiang Chen,Li Chai +4 more
- 28 Mar 2022
TL;DR: An optimization method is proposed for novel deployment of given number of directional landmarks within a given region in the 3-D task space using the elimination genetic algorithm to characterize the probability of at least n landmarks being covered simultaneously by a camera at a fixed position.
2
On Robust Observer Design for System Motion on SE(3) Using Onboard Visual Sensors
TL;DR: In this article , the authors proposed a robust observer design method that can accommodate these uncertainties from onboard visual sensing, and a switching strategy is proposed to ensure bounded estimation error for any given trajectory over a fixed time interval.
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