公开(公告)号：US20210407687A1

公开(公告)日：2021-12-30

申请号：US17471182

申请日：2021-09-10

Applicant: Intel Corporation

Inventor： Frederik PASCH ,  Bernd GASSMANN ,  Kay-Ulrich SCHOLL ,  Cornelius BUERKLE ,  Fabian OBORIL

IPC: G16H50/30 ,  G08G1/16 ,  G06K9/00 ,  G08G1/0962 ,  G06Q50/26 ,  G16H50/70 ,  G16H40/67 ,  B60W40/08 ,  B60W50/14 ,  B60W30/08 ,  A61B5/00 ,  A61B5/18

Abstract: A monitoring system may include a memory having computer-readable instructions stored thereon and a processor operatively coupled to the memory. The processor may read and execute the computer-readable instructions to perform or control performance of operations. The operations may include receive, prior to a collision involving a vehicle, sensor data representative of a feature of an internal environment and determine the collision has occurred. The operations may include automatically instruct, based on the collision, a sensor to generate another sensor data representative of another feature of the internal environment. The operations may include receive the another sensor data from the sensor and compare the sensor data and the another sensor data to accident data corresponding to previous accidents. The accident data may include a diagnosed injury and an accident severity of each of the previous accidents. The operations may include determine a severity of the collision based on the comparison.

公开(公告)号：US20220055620A1

公开(公告)日：2022-02-24

申请号：US17520809

申请日：2021-11-08

Applicant: Intel Corporation

Inventor： Bernd GASSMANN ,  Kay-Ulrich SCHOLL ,  Frederik PASCH ,  Cornelius BUERKLE ,  Fabian OBORIL

IPC: B60W30/095 ,  B60W40/09 ,  G06K9/00

Abstract: Disclosed herein are systems, devices, and methods of a safety system for monitoring the in-vehicle safety of internal objects within a vehicle. The safety system generates a digital twin of the interior objects from vehicle configuration data indicating a configuration of an interior environment of the vehicle, from interior object data associated with the interior object within the interior environment of the vehicle, and from vehicle situation data that indicates an operating status of the vehicle. The digital twin is an abstract model of the interior objects within the interior environment of the vehicle, and the safety system generates, based on the digital twin, a safety score associated with an operating behavior of the vehicle. Based on the safety score, the safety system determines a target level for the operating behavior.

公开(公告)号：US20200017102A1

公开(公告)日：2020-01-16

申请号：US16583280

申请日：2019-09-26

Applicant: Intel Corporation

Inventor： Bernd GASSMANN ,  Cornelius BUERKLE ,  Fabian OBORIL

IPC: B60W30/09

Abstract: According to various aspects, a safety module is described including: one or more processors configured to receive road information representing a geometry of one or more roads in a Cartesian coordinate system, determine a lane coordinate system based on the received road information, the lane coordinate system including a plurality of lane segments arranged along a longitudinal direction and along a lateral direction of the lane coordinate system, wherein a length information and a width information are assigned to each of the lane segments, and determine a potential collision event based on the lane coordinate system.

公开(公告)号：US20220111527A1

公开(公告)日：2022-04-14

申请号：US17558605

申请日：2021-12-22

Applicant: Intel Corporation

Inventor： Cornelius BUERKLE ,  Fabian OBORIL ,  Frederik PASCH ,  Bernd GASSMANN

IPC: B25J9/16

Abstract: Disclosed herein are systems, devices, and methods of a system that may adapt sensing capabilities based on the risk of the situation. The system may determine a risk estimation of an object in a work environment of a robot based on sensor data and a measurement uncertainty of a sensing system configured to collect the sensor data, wherein the sensor data is indicative of the object in the work environment. The system may also, based on the risk estimation, select a next operation mode from a plurality of operation modes for the sensing system.

公开(公告)号：US20220105636A1

公开(公告)日：2022-04-07

申请号：US17553874

申请日：2021-12-17

Applicant: Intel Corporation

Inventor： Fabian OBORIL ,  Cornelius BUERKLE ,  Bernd GASSMANN ,  Frederik PASCH ,  Kay-Ulrich SCHOLL

IPC: B25J9/16 ,  B25J13/08

Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of environments that may be shared between robots and humans. The safety system may receive a safety envelope that includes a reachable set of locations at an expected position of an object at a prediction time. The receiver may also receive a perception prediction that may be based on the safety envelope and may include environmental information associated with the object at the expected position at the prediction time. The safety system may also include a processor that generates an instruction to move a robot according to a safe movement instruction based on whether a perception check exceeds a predetermined threshold, wherein the perception check may be based on a difference between the perception prediction and sensor information indicative of the environment of the object at the prediction time.

公开(公告)号：US20220105634A1

公开(公告)日：2022-04-07

申请号：US17553854

申请日：2021-12-17

Applicant: Intel Corporation

Inventor： Fabian OBORIL ,  Cornelius BUERKLE ,  Frederik PASCH ,  Bernd GASSMANN ,  Chien Chern YEW ,  Tze Ming HAU ,  Ying Wei LIEW ,  Say Chuan TAN ,  Wei Seng YEAP

IPC: B25J9/16 ,  G09B19/16

Abstract: Disclosed herein are systems, devices, and methods of a safety system for analyzing and improving the safety of collaborative environments in which a robot may interact a human. The safety system may determine a monitored attribute of a person within an operating environment of a robot, where the monitored attribute may be based on received sensor information about the person in the operating environment. In addition, the safety system may determine a risk score for the person based on the monitored attribute. The risk score may be defined by (1) a collision probability that the person will cause an interference during a planned operation of the robot and (2) a severity level associated with the interference. The safety system may also generate a mitigating instruction for the robot if the risk score exceeds a threshold level.