AUTONOMOUS VEHICLE NAVIGATION USING NON-CONNECTED MAP FRAGMENTS

    公开(公告)号:US20230303111A1

    公开(公告)日:2023-09-28

    申请号:US17655818

    申请日:2022-03-22

    CPC classification number: B60W60/001 B60W2556/40 B60W2555/20

    Abstract: An apparatus autonomously operates at least one system of a vehicle as the vehicle navigates along a route through at least a portion of a traversable network in a sensor-based navigation mode. The apparatus obtains a map fragment corresponding to an area along the route; and, responsive to determining that the vehicle is located within the area, autonomously operates the at least one system of the vehicle as the vehicle navigates a portion of the route within the area in a map-based navigation mode using map data of the map fragment. Responsive to determining that the vehicle has exited the area, the apparatus autonomously operates the at least one system of the vehicle as the vehicle continues to navigate along the route in the sensor-based navigation mode. The map fragment is a portion of a high definition map configured to enable map-based autonomous vehicle navigation/control.

    APPARATUS AND METHODS FOR PROVIDING TIRE PRESSURE ANALYSIS

    公开(公告)号:US20230173856A1

    公开(公告)日:2023-06-08

    申请号:US17543151

    申请日:2021-12-06

    CPC classification number: B60C23/0408 G06N20/00

    Abstract: An apparatus, method and computer program product are provided for providing a tire pressure analysis. In one example, the apparatus receives first sensor data indicating a first tire pressure change associated with a first vehicle and causes a prediction model to generate a predicted cause of the first tire pressure change based on the first sensor data. The prediction model is trained based on historical data, the historical data defining a plurality of tire pressure signatures. Each of the plurality of tire pressure signatures correlates a cause of a second tire pressure change associated with a second vehicle to second sensor data indicating one or more tire pressure levels of the second vehicle over a period in which a wheel of the second vehicle completes a revolution. The apparatus further causes a notification of the predicted cause at a user interface associated with the first vehicle.

    DETERMINING TRAFFIC VIOLATION HOTSPOTS

    公开(公告)号:US20230033672A1

    公开(公告)日:2023-02-02

    申请号:US17391684

    申请日:2021-08-02

    Abstract: System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Embodiments further provide predictions for traffic accidents hotspots based on the presence or absence of the traffic violation hotspots.

    Apparatus and methods for predicting wrong-way-driving events

    公开(公告)号:US11551548B1

    公开(公告)日:2023-01-10

    申请号:US17518121

    申请日:2021-11-03

    Abstract: An apparatus, method and computer program product are provided for predicting wrong-way-driving events. A WWD event defines an event in which a vehicle travels in a direction opposing a traffic direction designated for a portion of a road. In one example, the apparatus estimates a likelihood of portion of the road inducing a wrong-way-driving (WWD) event by using a machine learning model as a function of map data, sensor data, or a combination thereof. If the likelihood satisfies a threshold, the apparatus updates a map layer to indicate the WWD event at the portion of the road.

    Method and apparatus for verifying rain event warnings

    公开(公告)号:US11535258B2

    公开(公告)日:2022-12-27

    申请号:US17087089

    申请日:2020-11-02

    Abstract: A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.

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