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Published in Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2021
In this paper, a metric calibration method for aerial on-board multiple non-overlapping cameras is proposed.
Recommended citation: Zhang X, Zhong L, Liang C, et al. Metric Calibration of Aerial On-Board Multiple Non-overlapping Cameras Based on Visual and Inertial Measurement Data[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). 2021: 16-28. http://LiangtaoZhong.github.io/files/Metric_calibr.pdf
Published in Acta Optica Sinica(光学学报), 2022
In this paper, the ray paths of the scene and those inside the camera in typical underwater scenes are modeled based on the multi-layer flat refractive model and the multi-projection-center model, and the corresponding underwater calibration parameters are estimated.
Recommended citation: Xiaoqiang Zhang, Liangtao Zhong, Qiqi Leng, Lingyan Ran, Hongyu Chu. Underwater Light Field Camera Calibration Based on Multi-Layer Flat Refractive Model and Multi-Projection-Center Model[J]. Acta Optica Sinica, 2022, 42(12): 1215001. http://LiangtaoZhong.github.io/files/underwater_camera.pdf
Published in A Thesis Submitted to Southwest University of Science and Technology for the Degree of Master, 2023
This is my master ‘s thesis. This paper mainly studies how to realize the localization and autonomous obstacle avoidance of UAV by using limited camera sensors.
Recommended citation: 钟良涛. 视觉数据驱动的多旋翼无人机自主飞行关键技术研究[D].西南科技大学,2023. http://LiangtaoZhong.github.io/files/thesis.pdf
Published in 2023 9th International Conference on Virtual Reality (ICVR), 2023
In this paper, a static key-point detection approach is proposed based on optical flow feature clustering and potential moving region detection and is utilized for RGB-D SLAM in a dynamic environment.
Recommended citation: Zhong L, Zhang X, Ran L, et al. Visual SLAM for Dynamic Environments Based on Static Key-Points Detection[C]//2023 9th International Conference on Virtual Reality (ICVR). IEEE, 2023: 93-99. http://LiangtaoZhong.github.io/files/rgbd_slam.pdf