Object tracking systems within closed environments employ light detection and ranging (LiDAR) to address privacy and confidentiality. Data collection occurred in two distinct scenarios. The goal of scenario one is to detect the locations of multiple objects from various locations on a flat surface in a closed environment. The second scenario describes the effectiveness of the technique in detecting multiple objects by using LiDAR data obtained from a single, fixed location.

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[1] VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ, "LiDAR dataset for object localization", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/zrq0-xm93. Accessed: Oct. 05, 2024.
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doi = {10.21227/zrq0-xm93},
url = {http://dx.doi.org/10.21227/zrq0-xm93},
author = {VINODHA K; E. S. GOPI; TUSHAR AGNIBHOJ },
publisher = {IEEE Dataport},
title = {LiDAR dataset for object localization},
year = {2023} }
TY - DATA
T1 - LiDAR dataset for object localization
AU - VINODHA K; E. S. GOPI; TUSHAR AGNIBHOJ
PY - 2023
PB - IEEE Dataport
UR - 10.21227/zrq0-xm93
ER -
VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ. (2023). LiDAR dataset for object localization. IEEE Dataport. http://dx.doi.org/10.21227/zrq0-xm93
VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ, 2023. LiDAR dataset for object localization. Available at: http://dx.doi.org/10.21227/zrq0-xm93.
VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ. (2023). "LiDAR dataset for object localization." Web.
1. VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ. LiDAR dataset for object localization [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/zrq0-xm93
VINODHA K, E. S. GOPI, TUSHAR AGNIBHOJ. "LiDAR dataset for object localization." doi: 10.21227/zrq0-xm93