THE IMPACT OF MAP BUILDING USING HELMET-MOUNTED LIDAR FOR MICRO-MOBILITY
Abstract:
Micro-mobility, which refers to the use of small, lightweight vehicles for short-distance transportation, has gained significant popularity in recent years. However, one of the challenges faced by micro-mobility users is the lack of accurate and up-to-date maps specifically designed for these vehicles. Traditional mapping methods are often inadequate for capturing the nuances of micro-mobility routes, such as narrow pathways, bike lanes, and pedestrian-only areas.
This study investigates the impact of using helmet-mounted Light Detection and Ranging (LiDAR) technology for map building in the context of micro-mobility. LiDAR is a remote sensing technique that uses laser pulses to measure distances and create high-resolution 3D maps. By mounting LiDAR sensors on helmets worn by micro-mobility riders, detailed and real-time data can be collected during their journeys.
The research methodology involves deploying a fleet of micro-mobility vehicles equipped with helmet-mounted LiDAR sensors in a selected urban area. The LiDAR sensors capture data on the surrounding environment, including road geometry, obstacles, and infrastructure. This data is then processed and used to build accurate and up-to-date maps tailored to the needs of micro-mobility users.
The impact of using these LiDAR-generated maps on micro-mobility is evaluated through various metrics, including route planning efficiency, safety enhancement, and user satisfaction. Comparative analysis is conducted between the LiDAR-generated maps and existing mapping solutions to assess their effectiveness in addressing the unique challenges faced by micro-mobility users.
The findings of this study have significant implications for the micro-mobility industry, urban planners, and policymakers. Accurate and up-to-date maps generated through helmet-mounted LiDAR technology can improve the safety, navigational experience, and overall usability of micro-mobility vehicles. Additionally, these maps can facilitate the integration of micro-mobility into existing transportation networks, leading to more sustainable and efficient urban mobility systems.
Keywords: Micro-mobility, LiDAR, Mapping, Helmet-mounted sensors, Urban transportation, Route planning, Safety, User satisfaction.