Recognising wild animals on roads: multisensor systems for accident avoidance

Abstract. Wildlife-related traffic accidents represent a persistent hazard on rural roads in Germany and beyond. Current electronic wildlife warning systems typically monitor only very short distances and therefore cannot provide large-area coverage. This paper presents a novel multisensor approach that integrates radar and infrared (IR) technology into existing roadside delineators. Due to regulatory requirements, delineators are placed at intervals of 50 m on German country roads. Integrating sensors into these delineators thus provides a uniform infrastructure that can be utilised. The radial extension of the sensor range allows a monitoring zone to be formed along the road. We evaluate thermal infrared arrays and high-resolution 60 GHz radar sensors for range, resolution and robustness under varying environmental conditions. Field measurements in wildlife parks demonstrate that the system can reliably detect deer at distances of up to 30 m and evaluate their moving speed as well. Challenges such as ambient temperature effects, optical dispersion in IR detection and resolution limits are discussed. The results highlight the potential of multisensor systems to reduce wildlife accidents and improve road safety.

Authors

Institutions

Publication Details

Journal
Journal of sensors and sensor systems
Published
2026-02-19
DOI
https://doi.org/10.5194/jsss-15-27-2026
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recognising wild animals on roads: multisensor systems for accident avoidance

Hubert Mantz, Nils Hollmach, Thomas R. Walter, Andreas Reichel et al.
Journal of sensors and sensor systems
Wildlife-Road Interactions and Conservation
article

Recognising wild animals on roads: multisensor systems for accident avoidance

Hubert Mantz, Nils Hollmach, Thomas R. Walter, Andreas Reichel, J. Berger, Mike Montoya-Capote, Michael Schneider
article en

Abstract

Abstract. Wildlife-related traffic accidents represent a persistent hazard on rural roads in Germany and beyond. Current electronic wildlife warning systems typically monitor only very short distances and therefore cannot provide large-area coverage. This paper presents a novel multisensor approach that integrates radar and infrared (IR) technology into existing roadside delineators. Due to regulatory requirements, delineators are placed at intervals of 50 m on German country roads. Integrating sensors into these delineators thus provides a uniform infrastructure that can be utilised. The radial extension of the sensor range allows a monitoring zone to be formed along the road. We evaluate thermal infrared arrays and high-resolution 60 GHz radar sensors for range, resolution and robustness under varying environmental conditions. Field measurements in wildlife parks demonstrate that the system can reliably detect deer at distances of up to 30 m and evaluate their moving speed as well. Challenges such as ambient temperature effects, optical dispersion in IR detection and resolution limits are discussed. The results highlight the potential of multisensor systems to reduce wildlife accidents and improve road safety.

Journal of sensors and sensor systemsVol. 15(1)
Technische Hochschule Ulm (DE), Leipzig University (DE)
Openalex Percentile: Top 56%
Wildlife-Road Interactions and Conservation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Recognising wild animals on roads: multisensor systems for accident avoidance — Hubert Mantz, Nils Hollmach, et al. · Journal of sensors and sensor systems (2026) | TGRS Research Map | TGRS