公开(公告)号：US11887477B2

公开(公告)日：2024-01-30

申请号：US17258125

申请日：2018-07-25

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Piotr Fiszer ,  Mateusz Smetek ,  Tomasz Wicherski

IPC: G08G1/00 ,  G08G1/0967 ,  B60W60/00 ,  G08G1/0955 ,  G06V20/56 ,  G06V40/20

CPC classification number: G08G1/096708 ,  B60W60/001 ,  G06V20/56 ,  G06V40/20 ,  G08G1/0955 ,  G08G1/096741 ,  G08G1/096766 ,  B60W2420/42 ,  B60W2556/45

Abstract: A device, system and method for controlling autonomous vehicles using a visual notification device. A movement detector is used to detect a user gesture of a user. A controller in communication with the movement detector is used to control a visual notification device to provide a visual indication of the user gesture combined with authentication data stored at a memory, to visually instruct the autonomous vehicle to perform an action associated with the user gesture upon verification of the authentication data.

公开(公告)号：US12126762B2

公开(公告)日：2024-10-22

申请号：US17904306

申请日：2020-06-03

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Robert Mrowiec ,  Piotr Fiszer ,  Mateusz Smetek ,  Andrzej Bukowski

IPC: H04M11/04 ,  H04M3/22 ,  H04M3/51

CPC classification number: H04M3/2281 ,  H04M3/5116

Abstract: Techniques for tracking and display of compliance with instructions provided by emergency call takers are provided. An artificial intelligence (AI) bot monitors a conversation between an emergency caller and an emergency call taker. The AI bot identifies at least one instruction issued by the emergency call taker to the emergency caller. The AI bot determines when execution of the at least one instruction has been confirmed.

公开(公告)号：US12293672B2

公开(公告)日：2025-05-06

申请号：US18059056

申请日：2022-11-28

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Piotr Fiszer ,  Pawel Niemiec ,  Ariel Levy ,  Tejeash Duraimanickam

IPC: G08G5/32 ,  G06V20/17

Abstract: A computer-implemented method and system for observation management of a drone is disclosed. The computer-implemented method includes generating suitability scores for at least first and second of potential drone flight paths that correspond to first and second out-of-Line Of Sight (LOS) time intervals. The computer-implemented method also includes generating a recommendation message that recommends one of the first and second potential drone flight paths as more suitable than one or more others of a plurality of potential flight paths for the drone.