Model development using parallel driving data collected from multiple computing systems
A driving data and computing system technology, applied in the direction of registration/indication of vehicle operation, circuit or fluid pipeline, registration/instruction, etc., can solve the problem of not being able to reliably indicate the driver's degree of caution
Pending Publication Date: 2022-04-12
RIVIAN IP HLDG LLC
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So, in this example, relying on hard braking data alone may not be a reliable indicator of what happened in a particular event or how careful the driver was.
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[0022] The following description is merely exemplary in nature and is not intended to limit the disclosure, application or uses. Note that the first digit of a three-digit reference number and the first two digits of a four-digit reference number correspond respectively to the first and first digits of the picture number in which the referenced element first appears.
[0023] The following description explains, by way of illustration only and not limitation, various embodiments of systems, vehicles, and methods for developing models from parallel driving datasets to identify risk levels for events in one of the driving datasets .
[0024] refer to figure 1 Various embodiments of the present disclosure include an analysis system 100 that processes vehicle driving data 101 received from a vehicle data system 111 incorporated within a vehicle 105 and from a portable computing system 112 capable of being transported on board a vehicle 105, such as The portable driving data 102 r...
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The invention relates to model development using parallel driving data collected from multiple computing systems. Embodiments include systems, vehicles, and computer-implemented methods for developing models from parallel driving datasets to identify risk levels for events in one of the driving datasets. In an illustrative embodiment, a system includes a vehicle data system operably coupled with at least one sensor on a vehicle to collect vehicle driving data representative of driving behavior. A portable data collection module is configured to cause a portable computing system capable of transmission onboard the vehicle to collect portable driving data representative of the driving behavior. An evaluation system is configured to receive the portable driving data and the vehicle driving data, assign a risk level to at least one event included in the vehicle driving data, and correlate the vehicle driving data with the portable driving data to identify a pattern in the portable driving data that may be associated with the risk level.
Description
technical field [0001] The present disclosure relates to developing models from parallel datasets on vehicle-related accidents to prospectively evaluate subsequent vehicle-related accidents. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not constitute prior art. [0003] Modern vehicles may include operator alert systems to help encourage drivers to drive more safely, for example, by alerting the driver when the vehicle deviates from its lane or approaches another object. Some vehicles may also include operator assistance features that help guide the vehicle to avoid lane departures and automatically engage steering or brakes in an attempt to avoid collisions with other objects, as corresponding examples. These systems may use data from multiple sensors that monitor the operation of the driver and the vehicle and / or control the vehicle. Data from these sensors could also prove he...
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IPC IPC(8): G06F30/15B60R16/02
CPCG07C5/008G07C5/0841G07C5/0808G07C5/085
Inventor J·F·格里芬T·豪高T·赖德奥特M·P·斯莱特里
Owner RIVIAN IP HLDG LLC