Visual Obstacle Avoidance for Autonomous Watercraft using Smartphones

Tarek El-Gaaly, Christopher Tomaszewski, Abhinav Valada, Prasanna Velagapudi, Balajee Kannan and Paul Scerri
Conference Paper, Proceedings of the Autonomous Robots and Multirobot Systems workshop (ARMS 2013, at AAMAS 2013), May, 2013

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This paper presents a visual obstacle avoidance system for low-cost autonomous watercraft in riverine environments, such as lakes and rivers. Each watercraft is equipped with a smartphone which offers a single source of perceptual sensing, via a monocular camera. To achieve autonomous navigation in riverine environments, watercraft must overcome the challenges of limited sensing, low computational resources and visually noisy dynamic environments. We present an optical-flow based system that is robust to visual noise, predominantly in the form of water reflections, and provides local reactive visual obstacle avoidance. Through extensive eld testing, we show that this system achieves high performance visual obstacle avoidance.

author = {Tarek El-Gaaly and Christopher Tomaszewski and Abhinav Valada and Prasanna Velagapudi and Balajee Kannan and Paul Scerri},
title = {Visual Obstacle Avoidance for Autonomous Watercraft using Smartphones},
booktitle = {Proceedings of the Autonomous Robots and Multirobot Systems workshop (ARMS 2013, at AAMAS 2013)},
year = {2013},
month = {May},
keywords = {Obstacle avoidance, Computer vision, Image processing, Reflection detection},
} 2017-09-13T10:39:25-04:00