Work

Development of a Method for Measuring a Pedestrian Trajectory Using Slam Based on First-person View Images

Year: 2024

Type: article

Abstract: We developed a method for measuring a pedestrian trajectory using a depth camera, which provides both infrared and visible light images. From these first-person view images, a SLAM technique generates the three-dimensional map around the camera and estimates the position of the camera using the map. We apply this method to measure the trajectory of a pedestrian avoiding an object, and the result gives a reliable walk trajectory and a detailed map including the object shape. We also measure two-pedestrian passing each other and show that this method can simultaneously measure the trajectories of multiple pedestrians.

Source: Journal of Architecture and Planning (Transactions of AIJ)

DOI: 10.3130/aija.89.1845

Authors: Kento MATSUZAWA, Haruki TAYAMA, Takanobu OGAWA, Yu NISHIO, Daiju TAKASE, Sekio NAMBU

Institutions: Seikei University, Shimizu (Japan)

Language: English

Topic: Robotics and Sensor-Based Localization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: bronze

OpenAlex ID: W4402974109

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