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115results about How to "Correct mistakes" patented technology

Navigation system user voice custom method

A navigation system user voice custom method comprises hardware of a location module, a calculation way module, a guide module, a target tracking system (TTS) voice synthesis module and a decoding module. When the guide module generates character strings in buffer memory, voice in the buffer memory can be played directly. Before voice is synthesized, a system can compare character strings of guide information with all character strings in the buffer memory to play voice. A custom voice file is of a structure identical with a structure of a voice cache file, the custom voice file is formed by an index and a data portion, and the voice cache file is also formed by an index and a data portion. Personal computer (PC) terminal software can firstly read the voice cache file, the custom voice file is added to navigation equipment, and a navigation system starts the custom voice function. A voice recording tool can collect and store voice into a data file, and the voice is stored is guided into the navigation system to serve as a custom voice library. The navigation system user voice custom method has the advantages of using the voice custom function, correcting error of synthetizing voice with a TTS engine, adding custom capacity of the navigation system and quickening real time performance of voice prompt.
Owner:SHENYANG MXNAVI CO LTD

Multi-hypothesis map matching method based on vehicle state transition

The invention discloses a multi-hypothesis map matching method based on vehicle state transition, comprising the following steps of: S1, obtaining GPS (global positioning system) data and INS (inertial navigation system) data; S2, defining a multi-hypothesis tree according to the GPS data and the INS data, wherein the multi-hypothesis tree is used for recording all traveled paths of a vehicle, a root node is in the multi-hypothesis tree, and the root node represents a start point of the vehicle; S3, generating new hypothesis nodes in the multi-hypothesis tree when the vehicle obtains the GPS data each time; S4, calculating weight of the hypothesis nodes according to the GPS data and the INS data, wherein the weight indicates the similarity of the information included in the hypothesis nodes to the real information; S5, deleting some hypothesis nodes according to the weight of the hypothesis nodes; S6, selecting the hypothesis node with largest weight as the optimal hypothesis node. The multi-hypothesis map matching method based on the vehicle state transition can record the continuous traveled path of the vehicle, and also can get better matching result under the condition that GPS signal quality is not good or the vehicle is in a region where roads are intensive.
Owner:WUXI RES INST OF APPLIED TECH TSINGHUA UNIV +1

Electronic organ remote intelligent teaching system

The invention provides an electronic organ remote intelligent teaching system and relates to the field of internet-of-things intelligent teaching. The electronic organ remote intelligent teaching system aims to solve the problems that the conventional remote electronic organ teaching system cannot provide big data reference for learners and the learners cannot independently select learning modes. A human-computer interaction subsystem inputs an instruction, acquires video and audio signals, converts the received signals and indicates whether keys of the electronic organ are pressed down or not; a key detection and control subsystem acquires key information and controls the electronic organ to generate sound; an automatic play subsystem controls the electronic organ to play; a network communication module transmits the key information and the video and audio signals; a user side main controller receives a user instruction, transmits the key information, transmits the signals to the human-computer interaction subsystem, and transmits the video and audio signals and the key information to the network communication module; a cloud server module exchanges the key information and the video and audio signals to store through a database module. The electronic organ remote intelligent teaching system has the beneficial effects that the learners can independently sect the learning modes and big data is provided.
Owner:HARBIN INST OF TECH
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