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.

"NCU/GPSARC developed a 1DVAR RO data retrieval system, which retrieves the FORMOSAT-7 (FS7) RO refractivity to obtain atmospheric temperaturemoisture profiles. The high vertical resolution atmospheric soundings are comparable with radiosondes. The system is one of the components of the TROPS,it is operationally performed by CWB TACC. Based on Chen et al. (2020), we further apply the nonlocal RO operator with FS7 data in an advanced hybrid data assimilation system for the detection of tropical cyclogenesis. The processing systemdetection platform have been implemented at GPSARC."

The total electron content derived by existing ground-based GNSS (Global Navigation Satellite System) receivers is used to construct a network of space buoys for real time monitoring traveling ionospheric disturbances triggered by tsunami waves. This space buoy network shall act as a tsunami early warning system confirming the tsunami originpropagation.

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.

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).

The AR-assisted endoscopic navigation system for brain surgery combines CT/MRI images, 3D cerebrovascular/nerve models,endoscopic images for surgical planningnavigation. AR glasses can display the 3D navigation inside the patient＇s skull, providing surgeons with intuitive 3D surgical navigation. In addition, the cerebrovascular/nerve model is also superimposed on the endoscopic image, allowing the surgeon to predict the upcoming surgical situation. The AR display endoscopic images can be simultaneously transmitted to the remote site for assistance through 5G communication.

Photonic_Workshop@CCMS.NTU has successfully developed a motorized micro-mapping system to explore and navigate samples. This system is able to acquire high resolution images to produce a sample map automatically. This map is also synchronized with the coordinates of motorized stages. This achievement allows users to explore and position their hotspots from the map, and precisely deploy the hotspot to the central field of view by motorized stages. In addition, this mapping system can combine with a laser scanning confocal spectral microscope (LSCSM) to acquire sample spectral mapping. Our result has shown the capability to improve the efficiency of hotspot positioning and data acquisition process.

A 3D wireless tracking system for minimally invasive spine surgery navigation is developed based on the mm-wave radar technique. It has the benefit of multi-target trackingsmall-sized transponder. With the cooperation of radar systemtriangulation algorithm, the maximum error of 3D positioning is less than 1.8 mm in the distance of 1.2 m

The dialogue system is the main subsystem of the visually impaired navigation system, which provides destinations for the navigation system through multiple dialogues. We use the knowledge graph as the basis for reasoning. In terms of close-range navigation, deep learning technology is used to develop RGB camera detection depth algorithm, indoor semantic cutting algorithm, integrated detection depth estimationindoor semantic cutting in indoor obstacle avoidance, etc. The whole system uses the CellS software design framework to integrate distributed AIoT systems.

With our autonomous UAV systems, we can effectively reduce many high-riskhigh-cost inspections which require high manpower, such as inspections of dams, river, coastline patrols, etc Operators only need to setuplaunch the system to allow the UAV to complete the designated tasks independently. The UAV will fly autonomously through visual navigation,will detect, record, measuremark the specified objects accordingly, while updating information to the satellite aerial image using spatial positioning technology, so that stakeholders can have a more comprehensive understanding on overall situation.