4results about How to "Accurate navigation information" patented technology

The invention relates to the technical field of surgical navigation, and discloses a neurosurgical navigation acceleration processing method and system. According to the method, three-dimensional reconstruction is carried out by adopting an SART algorithm, a historical and real-time three-dimensional basic model is obtained, and a deep learning module constructed by a U-Net image segmentation network, a YOLO target detection network and a graph neural network is utilized to obtain an organizational structure and a surgical instrument position in real time and carry out path planning. Meanwhile, the data preprocessing module is used for conducting denoising and contrast enhancement processing on the real-time operation image data, and the image definition is improved. According to the method and the system, the precision, the real-time performance and the safety of the neurosurgery operation can be remarkably improved, and the method and the system have important clinical application value.

The present invention provides a method and system for monitoring regions of interest in laparoscopic surgery, and relates to the field of computer vision. Based on a deformation estimation algorithm, the present invention tracks the tissue of interest defined preoperatively in real time on a tissue point cloud during surgery, and combined with real-time estimation of the 6D posture of surgical instruments, it can achieve real-time estimation of the relative distance between high-risk tissue organs and instruments. When the minimum relative distance exceeds a preset threshold, it can comprehensively provide warning marks, the 3D positions of instruments and tissues in the region of interest, and the minimum relative distance between the two. By accurately estimating, visualizing, and warning the distance between surgical instruments and key tissue structures, it is helpful to avoid accidental injury to important tissue structures during surgery and improve the safety of surgery.

The utility model discloses a comparison test system for an MEMS inertial navigation device. The comparison test system comprises a comparison test device, an antenna and a plurality of MEMS inertial navigation devices, wherein the comparison test device comprises a processor, a GNSS module and a plurality of first interfaces used for being connected with the MEMS inertial navigation device, the processor is respectively connected with the GNSS module and the plurality of first interfaces, and the GNSS module is connected with an antenna. The inertial navigation device comprises the GNSS module, can be installed on a carrier to carry out a sports car test, can also carry out a comparison test on a plurality of inertial navigation devices through the three-axis turntable, and can also carry out a comparison test on position, speed and other information obtained by inertial navigation and position, speed and other information obtained by the GNSS module, so that the inertial navigation device is more suitable for the actual use environment of inertial navigation. According to the utility model, the MEMS inertial navigation can be tested conveniently, quickly, comprehensively and reliably.

This invention discloses a vehicle navigation system for improving driving safety, comprising a sensor, an optical signal processing device, and a navigation device. The sensor is disposed near a vehicle window, which includes at least the windshield and optionally further includes side windows. The sensor collects optical signals within the window's field of view. The optical signal processing device processes the optical signals to obtain a clear image of the window's field of view after removing the effects of scattered light. The navigation device feeds navigation information to the driver or navigation data to an autonomous driving system based on the information from the image after removing the effects of scattered light. This invention can provide navigation information based on a clear image of the window's field of view in low-visibility environments, thereby improving driving safety in low-visibility conditions.