Anomalous Behavior Detection in Trajectory Data of Older Drivers

no code implementations • 29 Nov 2023 • Seyedeh Gol Ara Ghoreishi, Sonia Moshfeghi, Muhammad Tanveer Jan, Joshua Conniff, KwangSoo Yang, Jinwoo Jang, Borko Furht, Ruth Tappen, David Newman, Monica Rosselli, Jiannan Zhai

Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hardbrakings, and accelerations in their trips.

In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment

no code implementations • 15 Nov 2023 • Sonia Moshfeghi, Muhammad Tanveer Jan, Joshua Conniff, Seyedeh Gol Ara Ghoreishi, Jinwoo Jang, Borko Furht, KwangSoo Yang, Monica Rosselli, David Newman, Ruth Tappen, Dana Smith

Driving is a complex daily activity indicating age and disease related cognitive declines.

Methods and Tools for Monitoring Driver's Behavior

no code implementations • 28 Jan 2023 • Muhammad Tanveer Jan, Sonia Moshfeghi, Joshua William Conniff, Jinwoo Jang, KwangSoo Yang, Jiannan Zhai, Monica Rosselli, David Newman, Ruth Tappen, Borko Furht

In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars.

Management Self-Driving Cars

Measuring similarity between geo-tagged videos using largest common view

no code implementations • 28 Apr 2019 • Wei Ding, KwangSoo Yang, Kwang Woo Nam

In this paper, we propose new algorithm that can group both spatial locations and points of view to identify similar trajectories.