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Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
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VeLoc: Finding Your Car in Indoor Parking Structures.
Ruipeng Gao1,2, Fangpu He3, Teng Li4
1School of Software Engineering, Beijing Jiaotong University, Beijing 100044, China. rpgao@bjtu.edu.cn.
Sensors (Basel, Switzerland)
|May 5, 2018
Summary
This study introduces VeLoc, a system for indoor vehicle localization using smartphone sensors and floor maps. It enables accurate tracking without needing extra infrastructure, even with unknown starting positions.
Area of Science:
- Robotics
- Computer Science
- Geomatics Engineering
Background:
- WiFi-based indoor localization is limited in areas without coverage.
- A strong need exists for reliable indoor localization solutions.
- Existing methods often require additional infrastructure installation.
Purpose of the Study:
- To develop an infrastructure-free indoor vehicle localization system.
- To enable real-time vehicle tracking in indoor environments like parking structures.
- To address the challenge of unknown initial vehicle positions and orientations.
Main Methods:
- Proposed VeLoc system utilizing smartphone sensor data and floor maps.
- Developed a novel augmented particle filtering framework.
- Integrated map constraints and environmental sensing for robust localization.
Main Results:
- VeLoc effectively tracks vehicles in real-time using only onboard sensors and maps.
- The system performs well even when initial position and heading are unknown.
- Experimental results validate the system's accuracy and reliability.
Conclusions:
- VeLoc offers a viable solution for infrastructure-free indoor vehicle localization.
- The augmented particle filtering approach effectively fuses diverse data sources.
- This technology has significant potential for applications requiring precise indoor navigation.
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