Obstacle avoidance for orchard vehicle trinocular vision system based on coupling of geometric constraint and virtual force field method

Author:

Liu Siyao,Wang Xiaoyan,Li Sizhe,Chen Xiangan,Zhang Xuemin

Funder

China Agricultural University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. Tree detection with low-cost three-dimensional sensors for autonomous navigation in orchards;Durand-Petiteville;IEEE Robotics and Automation Letters,2018

2. Image processing for ridge/furrow discrimination for autonomous agricultural vehicles navigation;Takagaki;4th IFAC Conference on Modelling and Control in Agriculture,2013

3. Deep learning-Method overview and review of use for fruit detection and yield estimation;Koirala;Computers and Electronics in Agriculture,2019

4. A convolutional feature map-based deep network targeted towards traffic detection and classification;Baljit;Expert Systems with Applications,2019

5. Bargoti, S., Underwood, J. P., Nieto, J. I., et al., (2015). A pipeline for trunk localization using lidar in trellis structured orchards. Field and Service Robotics. Switzerland: Springer International, 455-468.

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