CamDist: Camera Based Distance Estimation with a Smartphone

Author:

Zhu Yifan,Zhu Xiaojun,Qian Cheng

Publisher

Springer International Publishing

Reference20 articles.

1. Guo, S., Chen, S., Liu, F., Ye, X., Yang, H.: Binocular vision-based underwater ranging methods. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA), pp. 1058–1063 (2017)

2. Han, H., Yi, S., Li, Q., Shen, G., Liu, Y., Novak, E.: AMIL: localizing neighboring mobile devices through a simple gesture. In: Proceedings of IEEE INFOCOM, pp. 1–9 (2016)

3. Haseeb, M.A., Guan, J., Ristic-Durrant, D., Gräser, A.: DisNet: a novel method for distance estimation from monocular camera. 10th Planning, Perception and Navigation for Intelligent Vehicles (PPNIV18) (2018)

4. Jia, L., et al.: A high-resolution ultrasonic ranging system using laser sensing and a cross-correlation method. Appl. Sci. 9(7), 1483 (2019)

5. Kim, I., Yow, K.C.: Object location estimation from a single flying camera. In: The Ninth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (2015)

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1. Image-Based Distance Estimation of a Target from a Camera using Color Checker Chart;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24

2. CACam: Consecutive Angular Measurements with Camera on Smartphone for Distance Estimation;2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS);2023-01

3. Minimizing the Maximum Length of Flight Paths for UAVs Providing Location Service to Ground Targets;IEEE Internet of Things Journal;2022-06-15

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