Pointing Gesture Based Point of Interest Identification in Vehicle Surroundings
This article presents a pointing gesture-based point of interest computation method via pointing rays’ intersections for situated awareness interactions in vehicles. The proposed approach is compared with two alternative methods: (a) a point of interest identification method based on the intersection of the pointing ray with the point cloud (PoC) resulting from the vehicle sensors, and (b) the traditional ray-casting approach, where the point of interest is computed based on the first intersection of the pointing rays with locations stored in a 2D annotated map. Simulation results show that the presented method outperforms by 36.25% the traditional ray casting one. However, as it was expected, the sensor-based computation method is more accurate. The validation of our approach was conducted by experiments performed in a test track facility. Although limited due to instrumentation challenges that will be described, the analysis of the results shows that a point of interest computation method based on pointing rays’ intersections performs 16.25% better than the traditional ray-casting one. This result is of particular interest in dense scenarios, where more than one point of interest intersects the pointing rays in a 2D map. Finally, this article shows how a POI disambiguation step can help to solve all the POI identification inaccuracies.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
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Supplemental Notes:
- Abstract reprinted with permission of SAE International.
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Authors:
- Sauras-Perez, Pablo
- Pisu, Pierluigi
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Conference:
- WCX World Congress Experience
- Location: Detroit Michigan, United States
- Date: 2018-4-10 to 2018-4-12
- Publication Date: 2018-4-3
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Photos; References; Tables;
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Serial:
- SAE Technical Paper
- Publisher: Society of Automotive Engineers (SAE)
- ISSN: 0148-7191
- EISSN: 2688-3627
- Serial URL: http://papers.sae.org/
Subject/Index Terms
- TRT Terms: Alternatives analysis; Data collection; Identification systems; Sensors; Simulation; Validation; Vehicle design
- Subject Areas: Data and Information Technology; Design; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01727988
- Record Type: Publication
- Source Agency: SAE International
- Report/Paper Numbers: 2018-01-1094
- Files: TRIS, SAE
- Created Date: Jan 27 2020 9:23AM