Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2024
Abstract
Unbounded proliferation of LiDAR-equipped pervasive devices generates two challenges: (a) mutual interference among emitters and (b) significantly higher sensing energy overhead. We propose a fundamentally different approach for LiDAR sensing, in indoor spaces, that decouples the sensor’s emitter and receiver components. Our proposed approach, called DeLiDAR, centralizes the emitter functionality in one or more stationary nodes that continually emit pulses; this decoupling allows each mobile LiDAR sensor to be an ultra-low power, pure receiver unit consisting solely of passive multiple photodiodes. We explain how the emitter can utilize VLC-based encoding of its pulses to convey parameter settings that allow a receiver device to infer its own point cloud, without requiring any timing or clock synchronization with the emitter. An initial experimental setup, consisting of a Raspberry Pi and an Arduino-based emitter/2-diode receiver, demonstrates the ability to recover the light pulse’s AoA with a resolution of ±5◦. We also highlight key systems challenges to realize DeLiDAR in practice.
Keywords
Angle of Arrival estimation, Depth estimation, LiDAR
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
21st International Conference on Embedded Wireless Systems and Networks, EWSN 2024: Abu Dhabi, December 10-13: Proceedings
First Page
1
Last Page
6
Publisher
Junction Publishing
City or Country
Abu Dhabi
Citation
KANATTA GAMAGE RAMESH DARSHANA RATHNAYAKE; Sutradhar, Razat; Nishar, Abbaas A. M.; Weerakoon Dulaj S.; Ashok, Ashwin; and MISRA, Archan.
DeLiDAR: Decoupling LiDARs for pervasive spatial computing. (2024). 21st International Conference on Embedded Wireless Systems and Networks, EWSN 2024: Abu Dhabi, December 10-13: Proceedings. 1-6.
Available at: https://ink.library.smu.edu.sg/sis_research/10122
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.