تقرير
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring
العنوان: | Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring |
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المؤلفون: | Gadd, Matthew, De Martini, Daniele, Pitt, Luke, Tubby, Wayne, Towlson, Matthew, Prahacs, Chris, Bartlett, Oliver, Jackson, John, Qi, Man, Newman, Paul, Hector, Andrew, Salguero-Gómez, Roberto, Hawes, Nick |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Robotics |
الوصف: | We describe a challenging robotics deployment in a complex ecosystem to monitor a rich plant community. The study site is dominated by dynamic grassland vegetation and is thus visually ambiguous and liable to drastic appearance change over the course of a day and especially through the growing season. This dynamism and complexity in appearance seriously impact the stability of the robotics platform, as localisation is a foundational part of that control loop, and so routes must be carefully taught and retaught until autonomy is robust and repeatable. Our system is demonstrated over a 6-week period monitoring the response of grass species to experimental climate change manipulations. We also discuss the applicability of our pipeline to monitor biodiversity in other complex natural settings. Comment: to be presented at the Workshop on Field Robotics - ICRA 2024 |
نوع الوثيقة: | Working Paper |
الوصول الحر: | http://arxiv.org/abs/2404.10446Test |
رقم الانضمام: | edsarx.2404.10446 |
قاعدة البيانات: | arXiv |
الوصف غير متاح. |