@inproceedings{2c7dcd54e5f04b128f05fbf72d724fe4,
title = "An Iot-Enabled Autonomous Shopping Cart Using LiDAR and BLE for Smart Retail Environments",
abstract = "Existing autonomous shopping cart solutions for smart retail environments often face limitations related to high implementation cost and real-Time navigation accuracy. To address these gaps, this paper presents a cost-effective autonomous shopping cart designed for smart retail environments, utilizing Bluetooth Low Energy (BLE) beacons and Light Detection and Ranging (LiDAR) sensors for target tracking and obstacle avoidance. The system integrates a Motion Processing Unit (MPU) and LiDAR to enable real-Time navigation and tracking capabilities. BLE is used for sensor data communication with the microprocessor. The system employs high-Torque DC motors for precise cart movement and a localized Graphical User Interface (GUI) with database support to enhance user interaction. Experimental evaluations confirm that the prototype achieves target tracking and obstacle avoidance performance comparable to existing solutions, while significantly reducing manufacturing costs. This demonstrates its potential as a cost-effective and scalable solution for efficient shopping cart automation in smart retail applications.",
keywords = "Bluetooth Low Energy (BLE), Inertial navigation, light detection and ranging",
author = "Ali, \{M. Hamza\} and Basit Shabbir and Usama Ishfaq and Arshad Hassan and Amine Bermak",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on the Internet of Things, IEEE CIoT 2025 ; Conference date: 29-10-2025 Through 31-10-2025",
year = "2025",
doi = "10.1109/CIoT67574.2025.11410134",
language = "English",
series = "8th Conference on Cloud and Internet of Things, CIoT 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "8th Conference on Cloud and Internet of Things, CIoT 2025",
address = "United States",
}