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David Ball

3 accepted papers

2015

Learning crop models for vision-based guidance of agricultural robots

IROS 2015poster

This paper describes a vision-based method of guiding autonomous vehicles within crop rows in agricultural fields where the crop rows are challenging to detect or their appearance is not known a-priori. The location of the crop rows is estimated with an SVM regression algorithm using colour, texture…

Cited by 25SourceScholar
2015

Online novelty-based visual obstacle detection for field robotics

ICRA 2015poster

This paper presents a novel online unsupervised vision system for obstacle detection in field environments which detects many obstacles pathological to appearance- or structure-only obstacle detection systems. Robust obstacle detection in field environments is challenging as it is infeasible to trai…

Cited by 30SourceScholar