US Patent Application 17825255. PATH GEOMETRY BASED ON VEHICLE SENSING simplified abstract
Contents
PATH GEOMETRY BASED ON VEHICLE SENSING
Organization Name
Inventor(s)
Adil Nizam Siddiqui of Farmington Hills MI (US)
Deepa Ramaswamy of Canton MI (US)
Cynthia M. Neubecker of Westland MI (US)
Robert Parenti of Dearborn MI (US)
PATH GEOMETRY BASED ON VEHICLE SENSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17825255 titled 'PATH GEOMETRY BASED ON VEHICLE SENSING
Simplified Explanation
The patent application describes a system that uses vehicle sensor data to predict upcoming route conditions and identify potential obstacles that may affect vehicle travel.
- The system analyzes the sensor data to identify passibility-limiting features on the route.
- It then interpolates the characteristics of these features based on the sensor data.
- The system compares the identified features with previously identified features in the vicinity of the vehicle's current location.
- It also compares the interpolated characteristics with previously interpolated characteristics associated with the features.
- If the characteristics deviate significantly from the previously interpolated ones, the system alerts the user through the vehicle.
- The alert is triggered if the interpolated characteristics or the previously interpolated characteristics indicate that the vehicle may have difficulty passing the feature, based on predefined vehicle parameters.
Original Abstract Submitted
A system receives vehicle sensor data indicating upcoming route characteristics as a vehicle travels a route. The system identifies one or more passibility-limiting features from the vehicle sensor data and, based on the sensor data, interpolates at least one characteristics of at least one feature that would affect vehicle travel. The system determines if the feature has been previously identified by comparison to previously identified features associated with locations within a proximity of a present location of the vehicle. Further, the system determines if the at least one characteristic has more than a predefined deviance from one or more previously interpolated characteristics associated with the feature and alert the user via the vehicle if at least one of the previously interpolated characteristics or the at least one characteristic indicates that the vehicle may have difficulty passing the feature based on predefined parameters of the vehicle.
