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20162021
most citedMonocular Camera Based Fruit Counting and Mapping with Semantic Data Association

83 citations · 141 across the 7 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2018★ 83 cited

Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association

Xu Liu, Steven W. Chen, Chenhao Liu +5

We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera. Our pipeline that relies only on a monocular camera, achieves counting perfor…

cs.RO2017★ 11 cited

Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern

Alexander Wendel, James Underwood

Line scanning cameras, which capture only a single line of pixels, have been increasingly used in ground based mobile or robotic platforms. In applications where it is advantageous…

cs.RO2017★ 41 cited

Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields

Mikkel Kragh, James Underwood

Reliable obstacle detection and classification in rough and unstructured terrain such as agricultural fields or orchards remains a challenging problem. These environments involve l…

cs.RO2016★ 5 cited

Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards

Suchet Bargoti, James Underwood

Ground vehicles equipped with monocular vision systems are a valuable source of high resolution image data for precision agriculture applications in orchards. This paper presents a…

cs.RO2016

Deep Fruit Detection in Orchards

Suchet Bargoti, James Underwood

An accurate and reliable image based fruit detection system is critical for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. This paper prese…