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Climate change is one of the defining challenges of the 21st century, and many in the robotics community are looking for ways to contribute. This paper presents a roadmap for climate-relevant robotics research, identifying high-impact…

Biodiversity monitoring using audio recordings is achievable at a truly global scale via large-scale deployment of inexpensive, unattended recording stations or by large-scale crowdsourcing using recording and species recognition on mobile…

Machine Learning · Statistics 2015-05-26 Timos Papadopoulos , Stephen Roberts , Kathy Willis

Automatic monitoring of tree plantations plays a crucial role in agriculture. Flawless monitoring of tree health helps farmers make informed decisions regarding their management by taking appropriate action. Use of drone images for…

Computer Vision and Pattern Recognition · Computer Science 2025-02-13 Yashwanth Karumanchi , Gudala Laxmi Prasanna , Snehasis Mukherjee , Nagesh Kolagani

Africa is experiencing extensive biodiversity loss due to rapid changes in the environment, where natural resources constitute the main instrument for socioeconomic development and a mainstay source of livelihoods for an increasing…

The ability to recognize objects is an essential skill for a robotic system acting in human-populated environments. Despite decades of effort from the robotic and vision research communities, robots are still missing good visual perceptual…

Robotics · Computer Science 2018-05-23 Mohammad Reza Loghmani , Barbara Caputo , Markus Vincze

Drones have a fairly short range due to their limited battery life. We propose an adaptive exploration techniques to extend the range of drones by taking advantage of physical structures such as tall buildings and trees in urban…

Robotics · Computer Science 2020-12-18 Tsz-Chiu Au

Applications of drones in emergency response, like firefighting, have been promoted in the past decade. As the autonomy of drones continues to improve, the ways in which they are integrated into firefighting teams and their impact on crews…

Human-Computer Interaction · Computer Science 2024-05-17 Moyi Li , Dzmitry Katsiuba , Mateusz Dolata , Gerhard Schwabe

Climate change is a major driver of biodiversity loss, changing the geographic range and abundance of many species. However, there remain significant knowledge gaps about the distribution of species, due principally to the amount of effort…

Computer Vision and Pattern Recognition · Computer Science 2023-05-03 Mélisande Teng , Amna Elmustafa , Benjamin Akera , Hugo Larochelle , David Rolnick

Drones are becoming increasingly used in a wide variety of industries and services and are delivering profound socioeconomic benefits. Technology needs to be in place to ensure safe operation and management of the growing fleet of drones.…

The utility of aerial imagery (Satellite, Drones) has become an invaluable information source for cross-disciplinary applications, especially for crisis management. Most of the mapping and tracking efforts are manual which is…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Ruchit Rawal , Prabhu Pradhan

Scattered trees outside of dense, closed-canopy forests are very important for carbon sequestration, supporting livelihoods, maintaining ecosystem integrity, and climate change adaptation and mitigation. In contrast to trees inside of…

Computer Vision and Pattern Recognition · Computer Science 2021-02-03 John Brandt , Fred Stolle

Biodiversity is declining at an unprecedented rate, impacting ecosystem services necessary to ensure food, water, and human health and well-being. Understanding the distribution of species and their habitats is crucial for conservation…

Big streams of Earth images from satellites or other platforms (e.g., drones and mobile phones) are becoming increasingly available at low or no cost and with enhanced spatial and temporal resolution. This thesis recognizes the…

Machine Learning · Computer Science 2022-11-24 Vasileios Sitokonstantinou

Insects play such a crucial role in ecosystems that a shift in demography of just a few species can have devastating consequences at environmental, social and economic levels. Despite this, evaluation of insect demography is strongly…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Léonard Boussioux , Tomás Giro-Larraz , Charles Guille-Escuret , Mehdi Cherti , Balázs Kégl

Several situations exist where a geographic region of some size needs to be scanned or monitored through many sensors. Still, it is either absolutely impossible or prohibitively expensive to deploy and maintain wireless communication…

Networking and Internet Architecture · Computer Science 2021-01-07 Bruno Olivieri , Marcelo Paulon , Markus Endler

Autonomous harvesting and transportation is a long-term goal of the forest industry. One of the main challenges is the accurate localization of both vehicles and trees in a forest. Forests are unstructured environments where it is difficult…

Robotics · Computer Science 2020-06-16 Qingqing Li , Paavo Nevalainen , Jorge Peña Queralta , Jukka Heikkonen , Tomi Westerlund

Reliable detection of humans beneath forest canopy remains a difficult remote-sensing challenge due to sparse, structured, and viewpoint-dependent occlusion. This paper presents a multimodal proof-of-concept pipeline that integrates three…

Computer Vision and Pattern Recognition · Computer Science 2026-05-18 Nitik Jain , Mangal Kothari

Bio-loggers, electronic devices used to track animal behaviour through various sensors, have become essential in wildlife research. Despite continuous improvements in their capabilities, bio-loggers still face significant limitations in…

Machine Learning · Computer Science 2025-03-14 Wilhelm Kerle-Malcharek , Karsten Klein , Martin Wikelski , Falk Schreiber , Timm A. Wild

Search processes in the natural world are often punctuated by home returns that reset the position of foraging animals, birds, and insects. Many theoretical, numerical, and experimental studies have now demonstrated that this strategy can…

Saving rainforests is a key to halting adverse climate changes. In this paper, we introduce an innovative solution built on acoustic surveillance and machine learning technologies to help rainforest conservation. In particular, We propose…

Sound · Computer Science 2019-08-22 Yuan Liu , Zhongwei Cheng , Jie Liu , Bourhan Yassin , Zhe Nan , Jiebo Luo
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