US2020172135A1PendingUtilityA1

Sensor-controlled adjustment of odometric measurement parameters to weather conditions

Assignee: Siemens Mobility GmbHPriority: Aug 10, 2017Filed: Jul 19, 2018Published: Jun 4, 2020
Est. expiryAug 10, 2037(~11 yrs left)· nominal 20-yr term from priority
B61L 23/041B61L 25/025B61L 15/0072B61L 25/026B61L 25/021
32
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Claims

Abstract

A method for adjusting measurement parameters of an odometry unit of a rail vehicle includes acquiring sensor data from the interior and/or the surroundings of the rail vehicle with the aid of at least one sensor unit that includes an internal image-recording unit. Weather data are determined on the basis of the acquired sensor data. Lastly, fusion weightings for the fusion of odometric data that have been determined on the basis of odometric sensor data from different types of odometric sensors are defined depending on the determined weather data. An adjustment device and a rail vehicle are additionally provided.

Claims

exact text as granted — not AI-modified
1 - 15 . (canceled) 
     
     
         16 . A method for adjusting measurement parameters of an odometry unit of a rail vehicle, the method comprising the following steps:
 using at least one sensor unit including an internal image-recording unit to capture sensor data from at least one of an interior or surroundings of the rail vehicle;   determining weather data based on the captured sensor data; and   determining fusion weightings for a fusion of odometric data having been determined on a basis of sensor data of different types of odometric sensors, as a function of the determined weather data.   
     
     
         17 . The method according to  claim 16 , which further comprises selecting the at least one sensor unit as at least one of:
 an external image-recording unit,   a temperature sensor,   a humidity sensor,   a LIDAR sensor for obstacle detection.   
     
     
         18 . The method according to  claim 17 , which further comprises selecting a monitoring camera as the internal image-recording unit. 
     
     
         19 . The method according to  claim 18 , which further comprises using the monitoring camera to observe the weather so that image data can be captured from external surroundings of the rail vehicle. 
     
     
         20 . The method according to  claim 18 , which further comprises using the monitoring camera to observe the weather so that image data can be captured from the internal area of the rail vehicle. 
     
     
         21 . The method according to  claim 19 , which further comprises determining a current weather situation based on the image data captured by the monitoring camera. 
     
     
         22 . The method according to  claim 21 , which further comprises applying an image evaluation method based on machine vision to the captured image data to determine the current weather situation. 
     
     
         23 . The method according to  claim 22 , which further comprises carrying out the image evaluation method by comparing the image data with different image patterns each being assigned to a different weather situation. 
     
     
         24 . The method according to  claim 23 , which further comprises selecting different weather situations as:
 snow fall,   fog,   rain.   
     
     
         25 . The method according to  claim 16 , which further comprises using current operating data of an air-conditioning system of the rail vehicle to determine a weather situation. 
     
     
         26 . The method according to  claim 16 , which further comprises reducing fusion weightings of sensors classified as fault-prone due to weather data, as a function of the determined weather data. 
     
     
         27 . An adjustment facility for a rail vehicle, the adjustment facility comprising:
 a data input interface for receiving captured sensor data from a sensor unit including an internal image-recording unit recording images of at least one of an interior or surroundings of the rail vehicle;   a weather determination unit for determining weather data based on the captured sensor data; and   a defining unit for defining fusion weightings for a fusion of odometric data having been determined on a basis of odometric sensor data from different types of odometric sensors as a function of the determined weather data.   
     
     
         28 . A rail vehicle, comprising:
 at least one sensor unit having an internal image-recording unit; and   an adjustment facility according to  claim 27 .   
     
     
         29 . A non-transitory computer program product having a computer program which is directly loadable into a storage unit of a computer unit of a rail vehicle, having program portions that when executed on a processor, perform all of the steps of  claim 16 . 
     
     
         30 . A non-transitory computer-readable medium on which program portions that are executable by a computer unit are stored, in order to carry out all of the steps of  claim 16  when the program portions are executed by the computer unit.

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