This technology integrates acoustic-optical sensing calculationrecognition information,uses hydrophones to estimate the state of dynamic targetsvisually recognizelocate the dynamic target for vehicle motion control. The fusion acoustic-optical sensing architecture can be used according to the target statecharacteristics. By calculatingadapting to the environmenttarget state characteristics, the exploration tasks will be performed.

We proposed a positioning integrated gyroscope (PIG) with a unit price of less than US$3,000. A pilot test was conducted in the tunnel section. The positioning error of the MEMS gyroscope was 4,300 meters at a moving distance of 7.8 kilometers,because there was no GNSS signal in the tunnel. The signal of GNSS module only uses the built-in IMU for positioning, the maximum error is also 348 meters. We move 7.8 kilometers, the error is 89 meters73 meters, the overall error are MEMS (55), GNSS (4.5),the team＇s module (1.1), the internationally marketed inertial FOG (0.9).

This invention presents a "next-generation augmented reality navigation system” using the generative adversarial network-long short term memory network (GAN-LSTM) framework with integrated GPS module to implement a novel AR navigation system. Unlike the presented AR navigation system, the virtual guided path is "autonomously generated" in captured image rather than superimpose on the image by using the pre-rendered 3D content, which not only provide a more authenticcorrect AR effect to user but also earlycorrectly guide the driver when driving in complex road traffic environment.