A Multi-sensor Combined Tracking Method for Following Robots
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-13822-5_65
Reference13 articles.
1. Hirose, N., Tajima, R., Sukigara, K.: Personal robot assisting transportation to support active human life — human-following method based on model predictive control for adjacency without collision. In: 2015 IEEE International Conference on Mechatronics (ICM), pp. 76–81 (2015)
2. Kim, H., Lee, J., Lee, S., Cui, X., Kim, H.: Sensor fusion-based human tracking using particle filter and data mapping analysis in in/outdoor environment. In: 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 741–744 (2013)
3. Jung, E., Yi, B.: Study on intelligent human tracking algorithms with application to omni-directional service robots. In: 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 80–81 (2013)
4. Wan, M., Zhang, H., Fu, M., Zhou, W.: Motion control strategy for redundant visual tracking mechanism of a humanoid robot. In: 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), pp. 156–159 (2016)
5. Jia, S., Zang, R., Li, X., Zhang, X., Li, M.: Monocular robot tracking scheme based on fully-convolutional siamese networks. In: 2018 Chinese Automation Congress (CAC), pp. 2616–2620 (2018)
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