公开(公告)号：US20200380261A1

公开(公告)日：2020-12-03

申请号：US16900137

申请日：2020-06-12

Applicant: Intel Corporation

Inventor： Pravin Chander Chandran ,  Raghavendra Bhat ,  Sean J. Lawrence

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62

Abstract: Techniques are provided for processing video frames in a process flow that includes first and second computation engines. In an example, the first engine is an artificial intelligence based computation engine, and the second engine is a heuristics-based computation engine. A sequence of frames of a video includes a first and second frames that are two consecutive frames in the sequence. An analyzer determines whether the second frame has non-redundant information relative to the first frame. In response to the determination, the analyzer selects one of the first or second engine for processing at least a section of the second frame. For example, if the second frame has non-redundant information relative to the first frame, at least the section of the second frame is processed by the first engine. If the second frame does not include non-redundant information, the second frame is processed by the second engine.

公开(公告)号：US20220351527A1

公开(公告)日：2022-11-03

申请号：US17856163

申请日：2022-07-01

Applicant: Intel Corporation

Inventor： Pravin Chander Chandran ,  Raghavendra Bhat ,  Sean Lawrence

IPC: G06V20/58 ,  B60W40/10 ,  B60W40/09

Abstract: An apparatus, including: an interface configured to receive raw images of one or more objects across a timeseries of frames corresponding to a movement event from a perspective of a vehicle of interest (Vol); and processing circuitry that is configured to: track a change in intensity or direction information represented in motion vectors (MVs) generated based on the raw images; generate, based on the change in the intensity or direction information, a weight of an influence vector representing a Vol influence on the movement event; and transmit the weight of the influence vector and an identity of the movement event to an assessment system that is configured to utilize the weight of the influence vector in an assessment of the Vol.

公开(公告)号：US20220111865A1

公开(公告)日：2022-04-14

申请号：US17560405

申请日：2021-12-23

Applicant: Intel Corporation

Inventor： Sean J. Lawrence ,  Raghavendra Bhat ,  Pravin Chander Chandran

IPC: B60W60/00 ,  G01C21/34 ,  B60W30/18 ,  G01C21/00

Abstract: Techniques are disclosed to determine driver scoring that consider deviations in map and sensor data in driver score computations. The deviations can be based on deviations from an optimum driving path, and include the determination of vectors between a reference point and one or more landmarks, and one or more reference vectors between the reference point the landmark(s) when traveling on an optimum driving path. A difference between the vectors may then be used determine the deviations from the optimum driving path. In contrast to the conventional approaches, the use of positional deviations (e.g. determined from road markings) in the computation of driver scores allows for improved driver scoring techniques and driver characterizations.

公开(公告)号：US20240210185A1

公开(公告)日：2024-06-27

申请号：US18338418

申请日：2023-06-21

Applicant: Intel Corporation

Inventor： Raghavendra Bhat ,  Pravin Chander Chandran ,  Sean Lawrence

IPC: G01C21/34 ,  G01C21/36

CPC classification number: G01C21/3461 ,  G01C21/3492 ,  G01C21/3691

Abstract: Techniques are provided to calculate a “complexity score” (CS) and qualifying allocation score, which aims to address the gap between a performance score, which may represent a driver score of other suitable entity-based performance score. The CS may be calculated based upon the particular agent (e.g. a vehicle, an autonomous mobile robot (AMR), etc.), such as via the use of vehicle-based alerts, other types of alerts, environment-based data, etc., which are collected for specific navigation segments. The CS is then combined with the performance score to provide a qualifying allocation score, which is a context-sensitive view of the performance score. This context-sensitive view of the performance score may then be utilized for a determination regarding how to allocate the most well-suited entity (a driver, vehicle, AMR, etc.) to a subsequent route that includes the navigation segments.

公开(公告)号：US11847816B2

公开(公告)日：2023-12-19

申请号：US16900137

申请日：2020-06-12

Applicant: Intel Corporation

Inventor： Pravin Chander Chandran ,  Raghavendra Bhat ,  Sean J. Lawrence

IPC: G06V10/764 ,  G06N3/08 ,  G06V20/40 ,  G06F18/214 ,  G06V10/82

CPC classification number: G06V10/764 ,  G06F18/214 ,  G06N3/08 ,  G06V10/82 ,  G06V20/41 ,  G06V20/46 ,  G06V20/44

Abstract: Techniques are provided for processing video frames in a process flow that includes first and second computation engines. In an example, the first engine is an artificial intelligence based computation engine, and the second engine is a heuristics-based computation engine. A sequence of frames of a video includes a first and second frames that are two consecutive frames in the sequence. An analyzer determines whether the second frame has non-redundant information relative to the first frame. In response to the determination, the analyzer selects one of the first or second engine for processing at least a section of the second frame. For example, if the second frame has non-redundant information relative to the first frame, at least the section of the second frame is processed by the first engine. If the second frame does not include non-redundant information, the second frame is processed by the second engine.