Dynamic object tracking on UGV
The techniques for obtaining 3D profiles of the environment had advanced very far, but interpreting this data and using it for robot navigation have not been widely explored yet.The LIDAR sensor is able to take 1 million readings per second, scan 360° horizontally and 26.8° vertically, and se...
| Main Author: | |
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| Other Authors: | |
| Format: | Student Research Poster |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/95292 http://hdl.handle.net/10220/9010 |
| _version_ | 1811690769569808384 |
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| author | Jeow, Li Huan |
| author2 | Tay Leng Phuan, Alex |
| author_facet | Tay Leng Phuan, Alex Jeow, Li Huan |
| author_sort | Jeow, Li Huan |
| collection | NTU |
| description | The techniques for obtaining 3D profiles
of the environment had advanced very
far, but interpreting this data and using it
for robot navigation have not been widely
explored yet.The LIDAR sensor is able to take 1
million readings per second, scan 360°
horizontally and 26.8° vertically, and
sense objects 120m away. With this high
resolution data points, objects can be
detected accurately further away
compared to conventional sensors. We
can potentially use it for navigating
vehicles at high speed safely, paving the
way for autonomous, road-worthy
vehicles.With this objective in sight, we will explore how to turn the massive
amount of data collected into usable information for navigating. More
specifically, we will condense the data into objects of which locations
can be tracked and predicted. [3rd Award] |
| first_indexed | 2024-10-01T06:09:16Z |
| format | Student Research Poster |
| id | ntu-10356/95292 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:09:16Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/952922020-09-27T20:29:26Z Dynamic object tracking on UGV Jeow, Li Huan Tay Leng Phuan, Alex School of Computer Engineering Dynamic object Tracking The techniques for obtaining 3D profiles of the environment had advanced very far, but interpreting this data and using it for robot navigation have not been widely explored yet.The LIDAR sensor is able to take 1 million readings per second, scan 360° horizontally and 26.8° vertically, and sense objects 120m away. With this high resolution data points, objects can be detected accurately further away compared to conventional sensors. We can potentially use it for navigating vehicles at high speed safely, paving the way for autonomous, road-worthy vehicles.With this objective in sight, we will explore how to turn the massive amount of data collected into usable information for navigating. More specifically, we will condense the data into objects of which locations can be tracked and predicted. [3rd Award] 2013-01-31T06:38:31Z 2019-12-06T19:11:58Z 2013-01-31T06:38:31Z 2019-12-06T19:11:58Z 2009 2009 Student Research Poster Jeow, L. H. (2009, March). Dynamic object tracking on UGV. Presented at Discover URECA @ NTU poster exhibition and competition, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/95292 http://hdl.handle.net/10220/9010 en © 2009 The Author(s). application/pdf |
| spellingShingle | Dynamic object Tracking Jeow, Li Huan Dynamic object tracking on UGV |
| title | Dynamic object tracking on UGV |
| title_full | Dynamic object tracking on UGV |
| title_fullStr | Dynamic object tracking on UGV |
| title_full_unstemmed | Dynamic object tracking on UGV |
| title_short | Dynamic object tracking on UGV |
| title_sort | dynamic object tracking on ugv |
| topic | Dynamic object Tracking |
| url | https://hdl.handle.net/10356/95292 http://hdl.handle.net/10220/9010 |
| work_keys_str_mv | AT jeowlihuan dynamicobjecttrackingonugv |