Potential of Emerging Sensor Technologies like LiDar for Enhanced Spatial Computing: Unlocking the Future of Technology

Integration of Light Detection and Ranging (LiDAR) technology with the developing area of spatial computing has driven a radical change across many fields in recent years. This mix is changing our interaction with the digital world and opening new possibilities in domains such augmented reality (AR), virtual reality (VR), autonomous navigation, and environmental mapping. This integration marks a significant transformation rather than just little technical enhancements that redefine ecosystems and open the path for a fresh wave of invention. The great possibilities of LiDAR as a new sensor technology and their major impact on spatial computing are investigated in this work. We investigate its many uses, underline its advantages, and assess the larger consequences of using it in contemporary technology environments. This work mostly focusses on the Apple Vision Pro, a novel AR/MR helmet that uses LiDAR to improve spatial awareness and provide remarkable user experiences. We want to show how LiDAR technology transforms spatial computing to hitherto unheard-of degrees, therefore facilitating smooth interaction between the digital and physical worlds by means of analysis of this case study. This work emphasises the transforming power of LiDAR in redefining spatial computing and provides fresh angles on its use and future possibilities.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-02-23
DOI
https://doi.org/10.52783/jisem.v10i13s.2068
Citations
2
Primary Topic
Robotics and Automated Systems
Type
article
Field-Weighted Citation Impact
2.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential of Emerging Sensor Technologies like LiDar for Enhanced Spatial Computing: Unlocking the Future of Technology

Greeshma Arya
2 citations
Journal of Information Systems Engineering & Management
Robotics and Automated Systems
2.43
article

Potential of Emerging Sensor Technologies like LiDar for Enhanced Spatial Computing: Unlocking the Future of Technology

Greeshma Arya
article en
2 citations

Abstract

Integration of Light Detection and Ranging (LiDAR) technology with the developing area of spatial computing has driven a radical change across many fields in recent years. This mix is changing our interaction with the digital world and opening new possibilities in domains such augmented reality (AR), virtual reality (VR), autonomous navigation, and environmental mapping. This integration marks a significant transformation rather than just little technical enhancements that redefine ecosystems and open the path for a fresh wave of invention. The great possibilities of LiDAR as a new sensor technology and their major impact on spatial computing are investigated in this work. We investigate its many uses, underline its advantages, and assess the larger consequences of using it in contemporary technology environments. This work mostly focusses on the Apple Vision Pro, a novel AR/MR helmet that uses LiDAR to improve spatial awareness and provide remarkable user experiences. We want to show how LiDAR technology transforms spatial computing to hitherto unheard-of degrees, therefore facilitating smooth interaction between the digital and physical worlds by means of analysis of this case study. This work emphasises the transforming power of LiDAR in redefining spatial computing and provides fresh angles on its use and future possibilities.

Journal of Information Systems Engineering & ManagementVol. 10(13s)
Openalex Percentile: Top 13%
Robotics and Automated Systems
2.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.