Towards a Real-Time, Low-Resource, End-to-End Object Detection Pipeline for Robot Soccer

Author:

Narayanaswami Sai Kiran,Tec Mauricio,Durugkar Ishan,Desai Siddharth,Masetty Bharath,Narvekar Sanmit,Stone Peter

Publisher

Springer International Publishing

Reference44 articles.

1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). Software available from https://www.tensorflow.org/

2. Achim, S., Stone, P., Veloso, M.: Building a dedicated robotic soccer system. In: Proceedings of the IROS-96 Workshop on RoboCup, pp. 41–48 (1996)

3. Adarsh, P., Rathi, P., Kumar, M.: YOLO v3-tiny: object detection and recognition using one stage improved model. In: 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 687–694 (2020)

4. Broemmel, P., et al.: RoboCup SPL instance segmentation dataset (2019). https://www.kaggle.com/pietbroemmel/naodevils-segmentation-upper-camera

5. Alami, R., Biswas, J., Cakmak, M., Obst, O. (eds.): RoboCup 2021: Robot World Cup XXIV. Springer, Cham (2022). ISBN 978-3-030-98681-0

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