9 citations · 16 across the 10 of their papers we have counts for
10 papers
Autonomous UAV Navigation for Individual Wildlife Re-Identification
Claire Sun, Tanya Berger-Wolf, Jenna Kline
Reliable individual re-identification (re-ID) of wildlife is essential for population monitoring, behavioral tracking, and conservation policy evaluation, yet large-scale data coll…
Cross-Modal Corroboration for Annotation-Free Wildlife Monitoring
Bharath Pillai, Varun Viswapriyan, Christopher Stewart +2
Scaling wildlife monitoring for real-world conservation deployments requires automated analysis of smart sensors that operate under severe annotation scarcity. We propose leveragin…
WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife
Vandita Shukla, Kilian Meier, Lucie Laporte-Devylder +6
We introduce WildBox, a dataset and benchmark for monocular 3D detection of wildlife from drone video, comprising 237,505 3D bounding box annotations across seven African savanna s…
FAIR^2 Drones: An AI-Ready Standard for Cross-Domain Wildlife Drone Datasets
Jenna Kline, Kilian Meier, Vandita Shukla +14
Animal ecology data collection using drones represents a substantial investment of time, expertise, and financial resources. Yet most existing datasets serve only a single research…
Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring
Jenna Kline, Rugved Katole, Tanya Berger-Wolf +1
Wildlife monitoring with drones must balance competing demands: approaching close enough to capture behaviorally-relevant video while avoiding stress responses that compromise anim…
kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring
Jenna Kline, Maksim Kholiavchenko, Samuel Stevens +13
A comprehensive understanding of animal behavior ecology depends on scalable approaches to quantify and interpret complex, multidimensional behavioral patterns. Traditional field o…
SmartWilds: Multimodal Wildlife Monitoring Dataset
Jenna Kline, Anirudh Potlapally, Bharath Pillai +7
We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos,…
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Jenna Kline, Austin O'Quinn, Tanya Berger-Wolf +1
Platforms that run artificial intelligence (AI) pipelines on edge computing resources are transforming the fields of animal ecology and biodiversity, enabling novel wildlife studie…
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs)
Jenna M. Kline, Maksim Kholiavchenko, Otto Brookes +3
In situ imageomics leverages machine learning techniques to infer biological traits from images collected in the field, or in situ, to study individuals organisms, groups of wildli…
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
Isla Duporge, Maksim Kholiavchenko, Roi Harel +9
Using drones to track multiple individuals simultaneously in their natural environment is a powerful approach for better understanding group primate behavior. Previous studies have…