Philippine E-Journals

References:

1. Department of Public Works and Highways. (n.d.). Road Traffic Information Application. Retrieved Aug 2022, from ArcGIS: Road Traffic Information Application - ArcGIS Hub https://www.dpwh.gov.ph/dpwh/gis/rti
2. MMDA. (2022, June 24). MMDA, JICA Hold Meeting for Metro Manila Comprehensive Traffic Management Plan. Retrieved from MMDA.gov.ph: https://mmda.gov.ph/84-news/news-2022/5583-june-4-2022-mmda-jica-meet-for-comprehensive-traffic-management-plan-ctmp-for-the-metro-manila-project.html
3. Inrix. (2018). Pennsylvania DOT Using Crowd Sourced Data to Assess and Improve Statewide Traffic Incident Management (TIM). Retrieved August 2022, from Inrix: https://inrix.com/case-studies/penn-dot-case-study/
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6. Nobis, F., Geisslinger, M., Weber, M., Betz, J., & Lienkamp, M. (2019). A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. Sensor Data Fusion: Trends, Solutions, Applications (SDF). Bonn, Germany: IEEE.
7. Hwang, S., Park, J., Kim, N., Choi, Y., & Kweon, I. (2015). Multispectral pedestrian detection: Benchmark dataset and baseline. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA, USA: IEEE.
8. Bosch Connected Devices and Solutions GmbH. (2018). Parking Sensor: Wireless sensors for detecting parking space occupancy. Bosch.
9. British Security Industry Association. (2021, August). Planning, design, installation and operation of Video Surveillance Systems (VSS): Code of practice and associated guidance. The Voice of the Professional Security Industry, BSIA Form 109(5), 60.
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12. Dai, D., Tan, R. T., Patel, V., Matas, J., Schiele, B., & Van Gool, L. (2021, July). Guest Editorial: Special Issue on “Computer Vision for All Seasons: Adverse Weather and Lighting Conditions”. International Journal of Computer Vision, 129, 2031-2033.