2020
DOI: 10.1007/s41870-020-00513-w
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Low-cost ultrasonic based object detection and collision avoidance method for autonomous robots

Abstract: This work focuses on the development of an effective collision avoidance algorithm that detects and avoids obstacles autonomously in the vicinity of a potential collision by using a single ultrasonic sensor and controlling the movement of the vehicle. The objectives are to minimise the deviation from the vehicle’s original path and also the development of an algorithm utilising one of the cheapest sensors available for very lost cost systems. For instance, in a scenario where the main ranging sensor malfunctio… Show more

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Cited by 20 publications
(2 citation statements)
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References 22 publications
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“…[38] presented the developed an improved obstacle detection system employing an Arduino Mega 2560 embedded system development board and tools using an Arduino board and sensors. [39] developed a self-independent effective collision avoidance algorithm to detect and avoid obstacle in a vicinity using an ultrasonic sensor and controlling the movement of the vehicle with the view of reducing the original path. Saraswathi and colleagues [40] created an obstacle-detecting robot in 2015 using IR sensor, wheel encoder and controlled by an Arduino microcontroller.…”
Section: Related Workmentioning
confidence: 99%
“…[38] presented the developed an improved obstacle detection system employing an Arduino Mega 2560 embedded system development board and tools using an Arduino board and sensors. [39] developed a self-independent effective collision avoidance algorithm to detect and avoid obstacle in a vicinity using an ultrasonic sensor and controlling the movement of the vehicle with the view of reducing the original path. Saraswathi and colleagues [40] created an obstacle-detecting robot in 2015 using IR sensor, wheel encoder and controlled by an Arduino microcontroller.…”
Section: Related Workmentioning
confidence: 99%
“…Stable and reliable absolute positioning information can be obtained by global navigation satellite system (GNSS) in the outdoor environment [1], whereas under the indoor conditions of greenhouses, it is impossible to apply GNSS for accurate positioning due to the signal occlusion. At present, the positioning and navigation methods of greenhouse robots worldwide primarily consist of guide rail, machine vision navigation, ultrasonic navigation, and multi-sensor fusion navigation [2][3][4][5]. Feng Qingchun et al [6] designed a greenhouse robot to walk autonomously and pick tomatoes on the set track.…”
Section: Introductionmentioning
confidence: 99%