公开(公告)号：EP4438241A1

公开(公告)日：2024-10-02

申请号：EP23217503.4

申请日：2023-12-18

申请人： INTEL Corporation

发明人： FELIP LEON, Javier ,  CAMPOS MACIAS, Leobardo ,  GOMEZ GUTIERREZ, David ,  TUREK, Javier ,  GONZALEZ AGUIRRE, David Israel

IPC分类号： B25J9/16

摘要： Various aspects of techniques, systems, and use cases may be used for camera and end-effector planning for visual servoing for example in redundant manipulators. A technique may include generating a set of paths of an end effector of a robotic arm, and ranking the set of paths using an objective function that results in an improvement to a distance between the end effector and a target while maintaining a collision mitigation path for the end effector and minimizing occlusion of a camera affixed to a joint of the robotic arm. The technique may include converting a path of the set of paths into a trajectory based on the ranking, and outputting the trajectory for controlling the robotic arm to move the end effector.

公开(公告)号：EP4198550A3

公开(公告)日：2023-08-30

申请号：EP22201064.7

申请日：2022-10-12

申请人： INTEL Corporation

发明人： FELIP LEON, Javier ,  ZAMORA ESQUIVEL, Julio Cesar ,  GONZALEZ AGUIRRE, David Israel ,  CAMPOS MACIAS, Leobardo

IPC分类号： G01S5/22 ,  G01S5/30 ,  B25J19/06

摘要： A localization system includes a first sensor, configured to detect a vibration and generate a first electrical signal in response to the detection of the vibration; a second sensor, configured to detect a vibration and generate a second electrical signal in response to the detection of the vibration; a third sensor, configured to detect a vibration and generate a third electrical signal in response to the detection of the vibration; and a processor, configured to determine a position of a source of the vibration based on the first electrical signal, the second electrical signal, and the third electrical signal.

公开(公告)号：EP4198550A2

公开(公告)日：2023-06-21

申请号：EP22201064.7

申请日：2022-10-12

申请人： INTEL Corporation

发明人： FELIP LEON, Javier ,  ZAMORA ESQUIVEL, Julio Cesar ,  GONZALEZ AGUIRRE, David Israel ,  CAMPOS MACIAS, Leobardo

IPC分类号： G01S5/22 ,  G01S5/30 ,  B25J19/06

摘要： A localization system includes a first sensor, configured to detect a vibration and generate a first electrical signal in response to the detection of the vibration; a second sensor, configured to detect a vibration and generate a second electrical signal in response to the detection of the vibration; a third sensor, configured to detect a vibration and generate a third electrical signal in response to the detection of the vibration; and a processor, configured to determine a position of a source of the vibration based on the first electrical signal, the second electrical signal, and the third electrical signal.

公开(公告)号：EP4030383A1

公开(公告)日：2022-07-20

申请号：EP21198398.6

申请日：2021-09-22

申请人： INTEL Corporation

发明人： CAMPOS MACIAS, Leobardo ,  FABILA GARCIA, German ,  GOMEZ GUTIERREZ, David ,  KRISHNAMURTHY, Sundar Rajan ,  LIANG, Le ,  LU, Lu ,  MENDOZA, Paulino ,  MUMTAZ, Sami ,  ZAMORA ESQUIVEL, Julio Cesar ,  CAMACHO PEREZ, Jose Rodrigo

IPC分类号： G06T7/33 ,  G06K9/62 ,  G06N3/04 ,  G06N3/00 ,  G06V10/44 ,  G06V10/82 ,  G06V20/56 ,  G06N7/00

摘要： Techniques are disclosed for the acceleration of the operation of a probabilistic sampling device for applications including homography estimation and wireless signal detection, which may include reducing the number of iterations associated with probabilistic sampling. Techniques are also disclosed for corner feature extraction from event-based cameras, which may be implemented via an Advanced Driver Assistance System (ADAS) or Autonomous Driving (AD) system.

公开(公告)号：EP3885993A1

公开(公告)日：2021-09-29

申请号：EP20208594.0

申请日：2020-11-19

申请人： Intel Corporation

发明人： GOMEZ GUTIERREZ, David ,  PARRA VILCHIS, Jose ,  DE LA GUARDIA GONZALEZ, Rafael ,  CAMPOS MACIAS, Leobardo ,  GUZMAN LEGUEL, Anthony Kyung

IPC分类号： G06K9/62 ,  G06K9/00 ,  G06K9/46

摘要： Techniques are disclosed to facilitate, in autonomous vehicles, the robust detection and classification of objects in a scene using a static sensors in conjunction with event-based sensors. A trained system architecture may be implemented, and the fusion of both sensors thus allows for the consideration of scenes with overexposure, scenes with underexposure, as well as scenes in which there is no movement. In doing so, the autonomous vehicle may detect and classify objects in conditions in which each sensor, if operating separately, would not otherwise be able to classify (or classify with high uncertainty) due to the sensing environment.