公开(公告)号：US10692370B2

公开(公告)日：2020-06-23

申请号：US15122750

申请日：2015-02-27

Applicant: INRIX INC.

Inventor： Judith Rosalyn Elgie ,  Dominic Jordan

IPC: G08G1/00 ,  G01C21/28 ,  G08G1/09 ,  H04W24/08 ,  H04W4/46 ,  G08G1/0967 ,  H04W4/50 ,  G06N20/00 ,  G06F16/29 ,  H04W4/024 ,  H04W4/029 ,  G08G1/01 ,  B60W40/08 ,  B60W40/09 ,  G07B15/06 ,  G08G1/0968 ,  G08G1/097 ,  B60W30/14 ,  G05D1/00 ,  G07C5/00 ,  A61B5/0205 ,  A61B5/0476 ,  A61B5/00 ,  G05D1/02 ,  H04B1/3822 ,  H04L29/08 ,  B64C39/02 ,  H04B7/185 ,  G06Q20/10 ,  G06Q30/02 ,  H04W12/08 ,  H04M15/00 ,  G06Q40/08 ,  H04L9/32 ,  B60R16/023 ,  G07B15/00 ,  G08G1/065 ,  G01C21/36 ,  H04W4/42 ,  H04W4/40 ,  G01C21/34 ,  G08G1/07 ,  G08G1/0962 ,  G08G1/0965 ,  H04W4/48 ,  A61B5/024 ,  A61B5/053 ,  G06Q50/30

Abstract: One or more techniques and/or systems are provided for training and/or utilizing a traffic obstruction identification model for identifying traffic obstructions based upon vehicle location point data. For example, a training dataset, comprising sample vehicle location points (e.g., global positioning system location points of vehicles) and traffic obstruction identification labels (e.g., locations of known traffic obstructions such as stop signs, crosswalks, stop lights, etc.), may be evaluated to extract a set of training features indicative of traffic flow patterns. The set of training features and the traffic obstruction identification labels may be used to train a traffic obstruction identification model to create a trained traffic obstruction identification model. The trained traffic obstruction identification model may be used to determine whether a road segment has a traffic obstruction or not.

公开(公告)号：US20200088525A1

公开(公告)日：2020-03-19

申请号：US16406809

申请日：2019-05-08

Applicant: Toyota Research Institute, Inc. ,  Massachusetts Institute of Technology

Inventor： Alexander Amini ,  Guy Rosman ,  Sertac Karaman ,  Daniela Rus

IPC: G01C21/28 ,  B60W10/18 ,  B60W10/20 ,  B60W10/04 ,  B60W30/18

Abstract: Systems and methods described herein relate to vehicular navigation and localization. One embodiment extracts perceptual features from sensor data; extracts unrouted-map features from unrouted map data; combines the perceptual features and the unrouted-map features to produce first combined features data; outputs, based at least in part on the first combined features data, parameters of a probability distribution for one or more steering trajectories that are available to a vehicle; and performs a localization of the vehicle based, at least in part, on the parameters of the probability distribution.

公开(公告)号：US10585409B2

公开(公告)日：2020-03-10

申请号：US15419922

申请日：2017-01-30

Applicant: Mentor Graphics Corporation

Inventor： Ljubo Mercep ,  Matthias Pollach

IPC: G01C21/36 ,  G01C21/34 ,  G05B17/02 ,  G05D1/00 ,  G05D1/02 ,  G06F16/29 ,  G06F17/50 ,  G01C21/28 ,  G01S13/931 ,  G01S15/931 ,  G01S17/93 ,  G08G1/16

Abstract: This application discloses a computing system to implement vehicle localization in an assisted or automated driving system. The computing system can receive an environmental model populated with measurement data captured by sensors mounted in a vehicle. The computing system can detect a location of the vehicle relative to the map data based on a correlation between the measurement data and the map data. The computing system can detect landmarks in the map data and switch to sparsely-populated map data from higher-definition map data for subsequent location detections. When the computing system does not detect a vehicle location, the computing system can track movement of the vehicle based on subsequent measurement data in the environmental model. After reacquiring a vehicle location, the computing can realign the tracked movement of the vehicle and measured data to the map data or modify the map data to include the tracked data.

公开(公告)号：US20200072617A1

公开(公告)日：2020-03-05

申请号：US16552252

申请日：2019-08-27

Applicant: Toyota Jidosha Kabushiki Kaisha

Inventor： Kazushi Tanaka

IPC: G01C21/28 ,  G01S19/47 ,  G01S19/39 ,  G06K9/00 ,  G01C21/16

Abstract: A host vehicle position estimation device includes an observation position estimation unit configured to estimate an observation position of the vehicle based on a result of recognition of the target object performed, a prediction position calculation unit configured to calculate a prediction position of the vehicle from a result of estimation of the host vehicle position in the past based on a result of measurement performed by an internal sensor, a host vehicle position estimation unit configured to estimate the host vehicle position based on the observation position and the prediction position. The host vehicle position estimation unit is configured to give more weighting to the prediction position in the estimation of the host vehicle position such that the host vehicle position is estimated to be close to the prediction position if it is determined that a result of estimation of the host vehicle position is unsteady.

公开(公告)号：US10571282B2

公开(公告)日：2020-02-25

申请号：US15926646

申请日：2018-03-20

Applicant: CASIO COMPUTER CO., LTD.

Inventor： Keiichi Imamura

IPC: G01C21/28 ,  H04W4/02 ,  G01C21/20 ,  G01C21/00 ,  G01S19/24 ,  G01S19/42 ,  H04W64/00 ,  G01C21/36

Abstract: An electronic apparatus includes a processor and a memory. The processor executes a program stored in the memory to perform operations including: acquiring position information of a user; specifying a movement state of the user; and determining appropriateness/inappropriateness of the acquired position information using a determination program according to the movement state.

公开(公告)号：US10558185B2

公开(公告)日：2020-02-11

申请号：US15420976

申请日：2017-01-31

Applicant: Mentor Graphics Corporation

Inventor： Ljubo Mercep ,  Matthias Pollach

IPC: G05B17/02 ,  G06F16/583 ,  G06F16/29 ,  G01C21/28 ,  G01C21/34 ,  G01C21/36 ,  G01S7/48 ,  G01S13/86 ,  G01S13/93 ,  G01S15/93 ,  G01S17/93 ,  G05D1/00 ,  G05D1/02 ,  G06F17/50 ,  G06K9/00 ,  G08G1/16 ,  G01S13/72 ,  G01S13/931 ,  G01S15/931

Abstract: This application discloses a computing system to implement map building in an assisted or automated driving system. The computing system can track movement of a vehicle based on sensor measurement data populated in an environmental model and vehicle movement measurements. The computing system can correlate the tracked movement of the vehicle to map data based on a previously detected location of the vehicle relative to the map data. The computing system can modify the map data to include the sensor measurement data utilized to track the movement of the vehicle based on the correlation of the tracked movement of the vehicle to map data. The computing system can modify the map data by building a map of the sensor measurement data and the tracked movement of the vehicle, and populating the map data with the built map.

公开(公告)号：US20200033146A1

公开(公告)日：2020-01-30

申请号：US16045900

申请日：2018-07-26

Applicant: Trimble Inc.

Inventor： Michael F. Cash ,  Shannon Smith

IPC: G01C21/34 ,  G01C21/18 ,  G01C21/28 ,  B62D15/02 ,  G01C21/36 ,  A01B69/04 ,  G01S19/13 ,  G01S19/51

Abstract: A system for providing manual guidance of a vehicle includes a first inertial measurement unit (IMU) attached to a steering wheel, a second IMU attached to a fixed part of the vehicle, a global navigation satellite systems (GNSS) receiver, a data storage device for storing a pre-planned path, and a feedback module. The feedback module is configured to determine a current angle of the steering wheel, determine a deviation of the current position of the vehicle from the pre-planned path, determine a current heading of the vehicle, determine a current velocity of the vehicle, and determine a desired angle of the steering wheel relative to the vehicle. The system further includes a user interface configured to provide a visual indication of the desired angle of the steering wheel or a deviation of the current angle of the steering wheel from the desired angle of the steering wheel.

公开(公告)号：US20200025575A1

公开(公告)日：2020-01-23

申请号：US16039686

申请日：2018-07-19

Applicant: QUALCOMM Incorporated

Inventor： Haim Mendel WEISSMAN ,  Elimelech GANCHROW ,  Arik MIMRAN

IPC: G01C21/28 ,  G05D1/00 ,  G05D1/02 ,  G01S13/86

Abstract: Techniques for operating a navigation system are provided. An example method according to these techniques includes determining a first localization solution associated with a location of the vehicle in a navigable environment using a radar transceiver of the navigation system, determining a second localization solution associated with the location of the vehicle in the navigable environment using a LiDAR transceiver, a camera, or both of the navigation system, selecting a localization solution from the first and second localization solutions based on whether an accuracy of the first localization exceeds an accuracy of the second localization solution, and utilizing the selected vehicle localization solution for navigation of the vehicle through the navigable environment.

公开(公告)号：US20200018617A1

公开(公告)日：2020-01-16

申请号：US16031512

申请日：2018-07-10

Applicant: Rohde & Schwarz GmbH & Co. KG

Inventor： Adrian CARDALDA-GARCIA ,  Stefan MAIER

IPC: G01C25/00 ,  G01C21/28

Abstract: A test system for testing the positioning functionality of a device under test (DUT) is provided. The test system includes a high precision global navigation satellite system (GNSS) simulator configured to simulate real-time kinematic (RTK) signals. The test system further includes a sensor simulator configured to simulate ideal sensor signals, and a sensor error model unit. The sensor error model unit is further configured to simulate sensor errors based on a real sensor datasheet. The simulated ideal sensor signals are combined with the simulated sensor errors to form real simulation signals.

公开(公告)号：US20190384276A1

公开(公告)日：2019-12-19

申请号：US16006950

申请日：2018-06-13

Applicant: Delphi Technologies, LLC

Inventor： Yimu Wang

IPC: G05D1/00 ,  G01C21/20 ,  G01C21/28 ,  G05D1/08 ,  G05D1/02

Abstract: A includes a vehicle and a drone. The vehicle includes a sensor system, a navigation system, a map, and a receiver. The sensor system provides vehicle location data to the navigation system that locates the vehicle on a roadway represented by the map. The sensor system includes one or more of a computer vision system, a radar system, and a LIDAR system. The drone includes a transmitter and at least one position-tracking device configured to determine drone location data. Drone use is initiated from the vehicle in accordance with a determination by the processor that the vehicle location data provided by the sensor system is insufficient for the navigation system to navigate the vehicle. The transmitter is configured to transmit the drone location data to the receiver.