公开(公告)号：US20190226854A1

公开(公告)日：2019-07-25

申请号：US16369029

申请日：2019-03-29

Applicant: Intel Corporation

Inventor： Florian GEISSLER ,  Ralf GRAEFE ,  Michael PAULITSCH ,  Rainer MAKOWITZ

IPC: G01C21/32 ,  G06T7/70 ,  G06K9/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on non-transitory computer storage medium(s), are directed to improving completeness of map information and data related to maps created through sensor data. Map completeness can be improved by determining object completeness and coverage completeness of a generated map and reducing amount of unknown areas of the generated map.

公开(公告)号：US20220118621A1

公开(公告)日：2022-04-21

申请号：US17561747

申请日：2021-12-24

Applicant: Intel Corporation

Inventor： Michael PAULITSCH ,  Florian GEISSLER ,  Ralf GRAEFE ,  Tze Ming HAU ,  Neslihan KOSE CIHANGIR ,  Ying Wei LIEW ,  Fabian Oboril ,  Yang PENG ,  Rafael ROSALES ,  Kay-Ulrich SCHOLL ,  Norbert STOEFFLER ,  Say Chuan TAN ,  Wei Seng YEAP ,  Chien Chern YEW

IPC: B25J9/16 ,  B25J13/08

Abstract: Disclosed herein are systems, devices, and methods for improving the safety of a robot. The safety system may determine a safety envelope of a robot based on a planned movement of the robot and based on state information about a load carried by a robot. The state information may include a dynamic status of the load. The safety system may also determine a safety risk based on a detected object with respect to the safety envelope. The safety system may also generate a mitigating action to the planned movement if the safety risk exceeds a threshold value.

公开(公告)号：US20210103487A1

公开(公告)日：2021-04-08

申请号：US17126148

申请日：2020-12-18

Applicant: Intel Corporation

Inventor： Rafael ROSALES ,  Michael PAULITSCH ,  David Israel GONZÁLEZ AGUIRRE ,  Florian GEISSLER ,  Ralf GRAEFE

IPC: G06F11/07 ,  G06F16/901 ,  G06F11/00 ,  G06N7/00

Abstract: A computer-implemented method may include obtaining, from a system using a middleware component of the system, run-time evidence of the system; applying the obtained run-time evidence to a Directed Acyclic Graph (DAG) Bayesian network to determine marginal probabilities for one or more nodes of the DAG Bayesian network, wherein the DAG Bayesian network comprises a plurality of nodes each representing states and faults of the system, wherein each node includes a parameterized conditional probability distribution, and wherein one or more of the nodes of the plurality of nodes specify a list of one or more safety goals and a safety value; determining which nodes representing faults have probabilities exceeding their specified safety value; and determining one or more risk mitigation techniques to activate for the determined nodes representing faults with probabilities exceeding their respective safety value.

公开(公告)号：US20220215691A1

公开(公告)日：2022-07-07

申请号：US17702837

申请日：2022-03-24

Applicant: Intel Corporation

Inventor： Neslihan KOSE CIHANGIR ,  Rafael ROSALES ,  Akash DHAMASIA ,  Yang PENG ,  Michael PAULITSCH

IPC: G06V40/20 ,  B25J11/00 ,  B25J9/16 ,  G08B21/04 ,  B25J19/02

Abstract: Disclosed herein are systems, devices, and methods for an uncertainty-aware robot system that may perform a personalized risk analysis of an observed person. The uncertainty-aware robot system determines a recognized behavior for the observed person based on sensor information indicative of a gait of the observed person. The uncertainty-aware robot system determines an uncertainty score for the recognized behavior based on a comparison of the recognized behavior to potentially expected behaviors associated with the observed person and the environment. The uncertainty-aware robot system generates a remedial action instruction based on the uncertainty score.

公开(公告)号：US20210402898A1

公开(公告)日：2021-12-30

申请号：US17469932

申请日：2021-09-09

Applicant: Intel Corporation

Inventor： Ignacio J. ALVAREZ ,  Nese ALYUZ CIVITCI ,  Maria Soledad ELLI ,  Javier FELIP LEON ,  Florian GEISSLER ,  David Israel GONZALEZ AGUIRRE ,  Neslihan KOSE CIHANGIR ,  Michael PAULITSCH ,  Rafael ROSALES ,  Javier S. TUREK

IPC: B60N2/50 ,  B60N2/00

Abstract: Devices and methods for a vehicle are provided in this disclosure. A device for controlling an active seat of a vehicle may include a processor and a memory. The memory may be configured to store a transfer function. The processor may be configured to predict an acceleration of the active seat of the vehicle based on a first sensor data and the transfer function. The first sensor data may include information indicating an acceleration of a vibration source for the vehicle. The processor may be further configured to generate a control signal to control a movement of the active seat at a first instance of time based on the predicted acceleration. Furthermore, the processor may be configured to adjust the transfer function based on a second sensor data including information indicating a detected acceleration of the active seat at the first instance of time

公开(公告)号：US20210380143A1

公开(公告)日：2021-12-09

申请号：US17408521

申请日：2021-08-23

Applicant: Intel Corporation

Inventor： Ignacio J. ALVAREZ ,  Michael PAULITSCH ,  Rafael ROSALES ,  Cornelius BUERKLE ,  Florian GEISSLER ,  Fabian OBORIL ,  Frederik PASCH ,  Yang PENG

IPC: B60W60/00 ,  B60W40/02 ,  B60W50/14 ,  B60W40/08

Abstract: Disclosed herein is a vehicle handover system that monitors an environment of a vehicle. The vehicle handover system receives a transition request to change control of the vehicle from an automated driving mode to a passenger of the vehicle. The vehicle handover system detects a key event that may be relevant to the transition request and the detection of the key event is based on the monitored environment. The vehicle handover system may generate a handover scene that includes images associated with the key event, and the images include an image sequence over a time-period of the key event. Before the vehicle handover system changes control of the vehicle from the automated driving mode to the passenger, the handover scene is displayed to the passenger.

公开(公告)号：US20240335947A1

公开(公告)日：2024-10-10

申请号：US18393735

申请日：2023-12-22

Applicant: Intel Corporation

Inventor： Norbert STOEFFLER ,  Florian GEISSLER ,  Michael PAULITSCH

IPC: B25J9/16 ,  B25J19/02

CPC classification number: B25J9/1671 ,  B25J9/1674 ,  B25J19/02

Abstract: The apparatus for the autonomously acting machine comprises an interface for communicating with a computer system, wherein the computer system is separate from the autonomously acting machine. The apparatus includes a processor for executing machine-readable instructions for providing information about an internal state of the autonomously acting machine to the computer system, obtaining a feedback signal from the computer system, the feedback signal indicating whether sensor data for observing the autonomously acting machine is consistent with the internal state of the autonomously acting machine, and wherein the feedback signal is based on a comparison between a digital twin of the autonomously acting machine and the sensor data, wherein an internal state of the digital twin is based on the internal state of the autonomously acting machine, and operating the autonomously acting machine based on the feedback signal.

公开(公告)号：US20240223909A1

公开(公告)日：2024-07-04

申请号：US18147714

申请日：2022-12-29

Applicant: Intel Corporation

Inventor： Michael PAULITSCH ,  Ignacio J. ALVAREZ ,  Fabian OBORIL ,  Florian GEISSLER ,  Ralf GRAEFE ,  Yang PENG ,  Norbert STOEFFLER ,  Neslihan KOSE CIHANGIR

IPC: H04N23/741 ,  G01S17/86 ,  G01S17/931 ,  H04N5/265 ,  H04N23/16 ,  H04N23/72 ,  H04N23/74 ,  H04N23/951

CPC classification number: H04N23/741 ,  G01S17/86 ,  G01S17/931 ,  H04N5/265 ,  H04N23/16 ,  H04N23/72 ,  H04N23/74 ,  H04N23/951

Abstract: Disclosed herein are devices, methods, and systems for providing an externally augmented camera that may utilize external light sources of a separate sensor to emit light toward a scene so as to provide accurate imaging of the scene, even in dark or low-light situations or where the scene has a high dynamic range of brightness. The externally augmented camera system may include a sensor with a light source capable of emitting light toward a scene, a camera separate from the light source, where the camera includes a detector capable of detecting emitted light from the light source. The externally augmented camera system also causes the sensor to emit light toward the scene via the light source, causes the camera to capture image data of the scene that has been illuminated by emitted light from the light source, and generates an image of the scene based on the image data.

公开(公告)号：US20210383695A1

公开(公告)日：2021-12-09

申请号：US17358036

申请日：2021-06-25

Applicant: Intel Corporation

Inventor： Neslihan KOSE CIHANGIR ,  Rafael ROSALES ,  Florian GEISSLER ,  Michael PAULITSCH ,  Ignacio ALVAREZ

IPC: G08G1/123 ,  G08G1/056 ,  H04W4/40

Abstract: Devices and methods for a road user are provided in this disclosure. An apparatus for determining detection of a road user may include a memory configured to store a plurality of data items received from a plurality of further road users. Each of the plurality of data items may include a detection information indicating whether an object has or has not been detected by one of the plurality of further road users. Furthermore, the apparatus may include a processor that is configured to determine a detection result indicating whether the road user has been detected by the one of the plurality of further road users based on the detection information.

公开(公告)号：US20250104562A1

公开(公告)日：2025-03-27

申请号：US18475274

申请日：2023-09-27

Applicant: Intel Corporation

Inventor： Rafael ROSALES ,  Ignacio J. ALVAREZ ,  Michael PAULITSCH

IPC: G08G1/16 ,  B60W50/16 ,  G01S13/931 ,  G06V20/58

Abstract: A device for blind spot determination of a second vehicle in a vicinity of a first vehicle includes a processor, configured to determine one or more context variables associated with the second vehicle; modify a model of the second vehicle based on one or more context variables; and determine a probability of the first vehicle being within an area of limited visibility in the modified model.