Demo: Prevention of Fall-on-Car Incidents

Fall-on-car incidents (e.g., trees or branches falling on a car) are an underestimated hazard during weather events, mainly affecting vehicles. Unfortunately, drivers are usually unaware of this danger until it occurs. On the other hand, connected vehicles can sense their surroundings, analyze this data with weather forecasts, and alert the driver if there is a risk of a fall-on-car incident. This paper focuses on this use case and demonstrates the Fall-on-Car Prevention (FoP) system. FoP system detects trees and tree branches and alerts drivers when windy conditions are forecasted, allowing early preventative action to be taken while parking. Our evaluation compared to 12 human experts demonstrates that the FoP system can enhance driver awareness of the risk of falling objects.

Authors

Institutions

Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/secon64284.2024.10934847
Primary Topic
Automotive and Human Injury Biomechanics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Demo: Prevention of Fall-on-Car Incidents

Seyhan Uçar, Kentaro Oguchi, E. Akin Sisbot, Xiaoyu Zhang
Automotive and Human Injury Biomechanics
article

Demo: Prevention of Fall-on-Car Incidents

Seyhan Uçar, Kentaro Oguchi, E. Akin Sisbot, Xiaoyu Zhang
article en

Abstract

Fall-on-car incidents (e.g., trees or branches falling on a car) are an underestimated hazard during weather events, mainly affecting vehicles. Unfortunately, drivers are usually unaware of this danger until it occurs. On the other hand, connected vehicles can sense their surroundings, analyze this data with weather forecasts, and alert the driver if there is a risk of a fall-on-car incident. This paper focuses on this use case and demonstrates the Fall-on-Car Prevention (FoP) system. FoP system detects trees and tree branches and alerts drivers when windy conditions are forecasted, allowing early preventative action to be taken while parking. Our evaluation compared to 12 human experts demonstrates that the FoP system can enhance driver awareness of the risk of falling objects.

Toyota Motor North America (United States) (US)
Openalex Percentile: Top 55%
Automotive and Human Injury Biomechanics
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.

Demo: Prevention of Fall-on-Car Incidents — Seyhan Uçar, Kentaro Oguchi, et al. · (2024) | TGRS Research Map | TGRS