Integration of photogrammetry and optical camera communication technologies for vehicle positioning

We propose an algorithm for vehicle positioning approach comparing the relative distance between street lights and forwarding vehicle. Rolling shutter CMOS (complementary metal-oxide-semiconductor) camera on the host vehicle detects the LED-ID (light-emitting diode-ID) from both the street LED lights and rear LED lights of the forwarding vehicles. The distance between vehicles can be measured by comparing the change of pixels on the image sensor of the camera. At the end of this paper, we provide simulation result to show the performance of our proposed scheme.

[1]  Trang Nguyen,et al.  High temporal-spatial resolution optical wireless communication technique using image sensor , 2016, 2016 International Conference on Information and Communication Technology Convergence (ICTC).

[2]  Masaru Ogawa,et al.  A 0.18-$\mu$ m CMOS SoC for a 100-m-Range 10-Frame/s 200 $\,\times\,$96-Pixel Time-of-Flight Depth Sensor , 2014, IEEE Journal of Solid-State Circuits.

[3]  Franck Petit,et al.  Deterministic Robot-Network Localization is Hard , 2010, IEEE Transactions on Robotics.

[4]  Vangelis Metsis,et al.  IoT Middleware: A Survey on Issues and Enabling Technologies , 2017, IEEE Internet of Things Journal.

[5]  Trang Nguyen,et al.  Region-of-Interest Signaling Vehicular System Using Optical Camera Communications , 2017, IEEE Photonics Journal.

[6]  Mostafa Zaman Chowdhury,et al.  Simplified photogrammetry using optical camera communication for indoor positioning , 2017, 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN).

[7]  Jianqiang Wang,et al.  Density Enhancement-Based Long-Range Pedestrian Detection Using 3-D Range Data , 2016, IEEE Transactions on Intelligent Transportation Systems.

[8]  George Alan Blackburn,et al.  Characterising Reedbeds Using LiDAR Data: Potential and Limitations , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[9]  Yaser P. Fallah,et al.  A Hybrid Systems Approach to Modeling Real-Time Situation-Awareness Component of Networked Crash Avoidance Systems , 2016, IEEE Systems Journal.