Online learning for 3D LiDAR-based human detection: experimental analysis of point cloud clustering and classification methods
Author:
Funder
H2020 European Institute of Innovation and Technology
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10514-019-09883-y.pdf
Reference51 articles.
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3. Bellotto, N., & Hu, H. (2010). Computationally efficient solutions for tracking people with a mobile robot: An experimental evaluation of bayesian filters. Autonomous Robots, 28, 425–438.
4. Beyer, L., Hermans, A., Linder, T., Arras, K. O., & Leibe, B. (2018). Deep person detection in two-dimensional range data. IEEE Robotics and Automation Letters, 3(3), 2726–2733.
5. Bianco, S., Ciocca, G., Napoletano, P., & Schettini, R. (2015). An interactive tool for manual, semi-automatic and automatic video annotation. Computer Vision and Image Understanding, 131, 88–99.
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