@inproceedings{356a531990b6447da72a71f47d30778a,
title = "An Improved Asynchronous Corner Detection and Corner Event Tracker for Event Cameras",
abstract = "In order to improve the efficiency of event-based corner detection and matching in high-speed UAV navigation and control task with event cameras, and to reduce computing costs in operation, this paper proposed an improved asynchronous corner detection algorithm and tracker for event cameras. The corner detection algorithm dynamically stores a fixed number of events on the surface of the detection of a continuous value of 0 arc, as a corner detection. The corner detection realizes the simplified description of the event angle, calculates the connection of the corner events by this descriptor, and matches them together in the form of particles. Through the evaluation on public Event Camera Datasets, our improved corner detection and tracking algorithm is more efficient than the existing algorithms, the performance under different motion is more stable.",
keywords = "Asynchronous corner tracking, Corner detection, Event cameras",
author = "Tong Wu and Zhan Li and Fulin Song",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2022 ; Conference date: 05-08-2022 Through 07-08-2022",
year = "2023",
doi = "10.1007/978-981-19-6613-2\_269",
language = "英语",
isbn = "9789811966125",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2770--2779",
editor = "Liang Yan and Haibin Duan and Yimin Deng and Liang Yan",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control",
address = "德国",
}