Obstacle Detection Support System Using Monocular Camera
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-14627-5_7
Reference6 articles.
1. Bastomi, R., et al.: Object detection and distance estimation tool for blind people using convolutional methods with stereovision. Manhattan, New York: Institute of Electrical and Electronics Engineers (2019)
2. Nagarajan, V.R., Singh, P.: Obstacle detection and avoidance for mobile robots using monocular vision. Institute of Electrical and Electronics Engineers, Manhattan, New York (2021)
3. Li, R., Xie, X., Wang, P., Jin, C.: Cloud-based moving object detection for mobile devices. Institute of Electrical and Electronics Engineers, Manhattan, New York (2017)
4. Ranftl, R., Lasinger, K., Hafner, D., Schindler, K., Koltun, V.: Towards robust monocular depth estimation: mixing datasets for zero-shot cross-dataset transfer. Institute of Electrical and Electronics Engineers, Manhattan, New York (2022)
5. Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: unified, real-time object detection. Institute of Electrical and Electronics Engineers, Manhattan, New York (2016)
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