Research On Ontology Position Sensing And Location Technology Based On Image Sensor

With the development of society,people’s demand for location service(LBS)is constantly increasing,and it has an indispensable core position in the fields of logistics delivery services,shared industries,unmanned driving,and Internet of Vehicles.People’s increasing indoor work and life has brought new development momentum to indoor positioning technology(VLIP).Traditional positioning methods,such as GPS,have limitations in indoor environments because they cannot penetrate walls.Therefore,compared to positioning methods such as radio frequency,wireless local area network(WLAN),Bluetooth,etc.,visible light positioning has lower cost,resistance to electromagnetic interference,and higher positioning accuracy.High advantages have become the research focus of indoor positioning in recent years.Visible light positioning uses light emitting diodes(LEDs)as the transmitting end to generate position information,and the receiving end receives signals from a photodetector(PD)or image sensor(IS).Compared with the photodetector,it is often affected by the multipath effect,and the image sensor positioning effect is better.However,in a complicated practical situation,due to the IS tilt or jitter problem,a large positioning error will occur,which affects the positioning result,so it becomes visible light.The research focus of indoor positioning.This paper proposes a body positioning technology based on an image sensor,which uses a combined LED light source as the transmitter and a monocular camera as the receiver.The communication module uses the LED light source and the monocular camera to send and receive signals,enhance and de-noise the image,and decode the signal sent by the LED light source;the positioning module uses target recognition algorithms and anti-tilt positioning algorithms to improve positioning accuracy Finally,a set of IS-based ontology positioning system was built.The main innovations are as follows:(1)In view of the problem that the thresholding after camera processing in camera communication will cause a large bit error rate,etc.,a positioning scheme based on LED high-frequency flicker and amplitude reversal coding(UPSOOK)is proposed,which not only solves the flicker-free coding method Problems,and improved spectrum efficiency.On this basis,the color image processing method is used for decoding.The experimental results show that the effect of obtaining positioning information has been effectively improved.(2)To a certain extent,the indoor positioning of visible light is subject to its sensitivity to tilt.Regardless of whether it is a PD or an image sensor,when the relative position of the receiving end and the sending end is inclined,the positioning error will be significantly improved,especially in its own In the actual positioning environment,this tilt is inevitable.Aiming at this problem,a correction algorithm based on image processing is proposed.The vertex information of the three LED lights is obtained through image processing,and the correction is processed according to the perspective transformation matrix to improve the positioning accuracy.(3)Developed a set of image sensor-based body positioning experiment system,and completed the experiment test.The experimental results show that the indoor positioning requirements of centimeter level are satisfied in the experimental space of 5m × 5m × 4.5m,the decoding success rate is kept above 50%,the decoding accuracy rate is above 90%,the spatial positioning plane error is not higher than 5cm,and is inclined In case of plane error is not higher than 9cm.