SYSTEMS AND METHODS FOR PREDICTIVE NAVIGATION CONTROL
Systems and methods for predictive navigation control. A method for predictive navigation control of an autonomous vehicle includes comparing a cue node with each of a plurality of contextual memory nodes in a contextual memory structure, where the cue node represents a new event representing a dist...
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| creator | KWON HYUKSEONG BHATTACHARYA, RABIN HOWARD MICHAEL D |
| description | Systems and methods for predictive navigation control. A method for predictive navigation control of an autonomous vehicle includes comparing a cue node with each of a plurality of contextual memory nodes in a contextual memory structure, where the cue node represents a new event representing a distance, speed, and heading around one or more newly observed objects of the autonomous vehicle, and wherein the context memory structure comprises a network of nodes, each node representing a respective previously existing event and having a respective node risk and likelihood; determining which node has a minimum corresponding difference metric, thereby defining a best matching node; if the minimum difference measure is smaller than the matching tolerance, combining the prompt node with the optimal matching node, otherwise, adding a new node corresponding to the prompt node to the scene memory structure; and identifying the most probable next node and/or the most dangerous next node.
用于预测导航控制的系统和方法。一种用于自主车辆的预测导航控制的方 |
| format | Patent |
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用于预测导航控制的系统和方法。一种用于自主车辆的预测导航控制的方</description><subject>CONTROLLING</subject><subject>GYROSCOPIC INSTRUMENTS</subject><subject>MEASURING</subject><subject>MEASURING DISTANCES, LEVELS OR BEARINGS</subject><subject>NAVIGATION</subject><subject>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</subject><subject>PHYSICS</subject><subject>REGULATING</subject><subject>SURVEYING</subject><subject>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDANjgwOcfUNVnD0c1HwdQ3x8HcJVnDzD1IICHJ18XQO8QxzVfBzDPN0dwzx9PdTcPb3Cwny9-FhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGJmaGBgaGRo7GxKgBAATwJ8I</recordid><startdate>20220610</startdate><enddate>20220610</enddate><creator>KWON HYUKSEONG</creator><creator>BHATTACHARYA, RABIN</creator><creator>HOWARD MICHAEL D</creator><scope>EVB</scope></search><sort><creationdate>20220610</creationdate><title>SYSTEMS AND METHODS FOR PREDICTIVE NAVIGATION CONTROL</title><author>KWON HYUKSEONG ; BHATTACHARYA, RABIN ; HOWARD MICHAEL D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114610012A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CONTROLLING</topic><topic>GYROSCOPIC INSTRUMENTS</topic><topic>MEASURING</topic><topic>MEASURING DISTANCES, LEVELS OR BEARINGS</topic><topic>NAVIGATION</topic><topic>PHOTOGRAMMETRY OR VIDEOGRAMMETRY</topic><topic>PHYSICS</topic><topic>REGULATING</topic><topic>SURVEYING</topic><topic>SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>KWON HYUKSEONG</creatorcontrib><creatorcontrib>BHATTACHARYA, RABIN</creatorcontrib><creatorcontrib>HOWARD MICHAEL D</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KWON HYUKSEONG</au><au>BHATTACHARYA, RABIN</au><au>HOWARD MICHAEL D</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEMS AND METHODS FOR PREDICTIVE NAVIGATION CONTROL</title><date>2022-06-10</date><risdate>2022</risdate><abstract>Systems and methods for predictive navigation control. A method for predictive navigation control of an autonomous vehicle includes comparing a cue node with each of a plurality of contextual memory nodes in a contextual memory structure, where the cue node represents a new event representing a distance, speed, and heading around one or more newly observed objects of the autonomous vehicle, and wherein the context memory structure comprises a network of nodes, each node representing a respective previously existing event and having a respective node risk and likelihood; determining which node has a minimum corresponding difference metric, thereby defining a best matching node; if the minimum difference measure is smaller than the matching tolerance, combining the prompt node with the optimal matching node, otherwise, adding a new node corresponding to the prompt node to the scene memory structure; and identifying the most probable next node and/or the most dangerous next node.
用于预测导航控制的系统和方法。一种用于自主车辆的预测导航控制的方</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CONTROLLING GYROSCOPIC INSTRUMENTS MEASURING MEASURING DISTANCES, LEVELS OR BEARINGS NAVIGATION PHOTOGRAMMETRY OR VIDEOGRAMMETRY PHYSICS REGULATING SURVEYING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TESTING |
| title | SYSTEMS AND METHODS FOR PREDICTIVE NAVIGATION CONTROL |
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