Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges

Sundaram, N.; Sundaram, Divya Meena

doi:10.1007/s10462-023-10534-z

Cited by 7 publications

(1 citation statement)

References 146 publications

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“…Automated warning systems, allowing braking to commence even before a deer is visible to the driver, are currently under development and testing [1]. However, integrating artificial intelligence into driver assistance or automated driving systems presents challenges [34]. Ethical considerations are necessary when determining a course of action for unavoidable collisions with wildlife [35].…”

Section: Introductionmentioning

confidence: 99%

Trends and Characteristics of Human Casualties in Wildlife–Vehicle Accidents in Lithuania, 2002–2022

Balčiauskas,

Kučas,

Balčiauskienė

2024

Animals

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We analyzed 474 human casualties in wildlife–vehicle accidents (WVAs) that occurred between 2002 and 2022 in Lithuania, which is a small northern European country. The study revealed the escalating trend of WVAs, since 2018 surpassing other transport accidents, although the number of casualties per WVA was ca. 100 times lower compared to other transport accidents. Moose was the primary contributor, responsible for 66.7% of fatalities and 47.2% of injuries, despite much lower species abundance compared to roe deer, which is the main species involved in WVAs without human casualties. Temporal patterns highlighted seasonal, daily, and hourly variations, with the majority of casualties occurring during dusk or dawn in May and September, on weekends, and between 20:00 and 22:00. Spatially, main roads with high traffic density exhibited the highest casualties per unit length. Most casualties occurred after hitting an animal directly with cars and motorcycles being most vulnerable vehicles. The effectiveness of WVA prevention measures was inconclusive: 9.5% of fatalities and 1.4% of injuries were registered in the area of the warning sign, and 10.4% of all casualties occurred on fenced road segments. These findings suggest the need for a critical evaluation of the current prevention strategies in reducing human casualties associated with WVAs.

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Section: Introductionmentioning

confidence: 99%

Trends and Characteristics of Human Casualties in Wildlife–Vehicle Accidents in Lithuania, 2002–2022

Balčiauskas,

Kučas,

Balčiauskienė

2024

Animals

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Wildlife monitoring with drones: A survey of end users

Iglay,

Jones,

Elmore

et al. 2024

Wildlife Society Bulletin

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Rapid advancements in technology often yield research inquiry into novel applications and drone (i.e., unoccupied aircraft systems or UAS) applications in wildlife management are no exception. We questioned the time lag between drone‐related research and end‐user assessments. We implemented an online, cross‐sectional survey of wildlife professionals to better understand current drone use and benefits or concerns, complemented by a review of contemporary peer‐reviewed and gray literature. We found little disparity between scientific inquiry and end‐user experiences (i.e., similar trends among concerns in published literature and survey results). Exploring new (i.e., advancements in computer vision) and refining original drone applications (i.e., evaluating animal behavior responses during monitoring) were strong among pilots of relatively minimal experience (1–5 years). Advancements in drone technology and changes in drone‐related legislation will continue to offer benefits and challenges.

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Novel Animal Detection System: Cascaded YOLOv8 With Adaptive Preprocessing and Feature Extraction

Chappidi,

Sundaram

2024

IEEE Access

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Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges

Cited by 7 publications

References 146 publications

Trends and Characteristics of Human Casualties in Wildlife–Vehicle Accidents in Lithuania, 2002–2022

Trends and Characteristics of Human Casualties in Wildlife–Vehicle Accidents in Lithuania, 2002–2022

Wildlife monitoring with drones: A survey of end users

Novel Animal Detection System: Cascaded YOLOv8 With Adaptive Preprocessing and Feature Extraction

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