Toyota Motor Engineering & Manufacturing North America, Inc.

Other

Toyota Jidosha Kabushiki Kaisha

McMaster University

Toyota Motor Eng & Mfg North America, Inc.

Timecode Archive Corp.

Toyota Motor Eng. & Manuf. North America. Inc.

Baik Hoh

Kentaro Oguchi

Seyhan Ucar

Seyhan Uçar

Onur Altintas

Hao Yang

Takamasa Higuchi

Shalini Keshavamurthy

BaekGyu Kim

Yashar Zeiynali Farid

John F Daly

Paul Li

Adrian Lombard

Satoshi Nagashima

Kruti Vekaria

Rui Guo

Toru Nakanishi

Akio Orii

Emrah A Sisbot

Ji Yim

A location matching method is provided. The method comprises receiving one or more photos of one or more vacant properties and surroundings of the one or more vacant properties, processing the one or more photos of the one or more vacant properties and surroundings of the one or more vacant properties to extract features related to the surroundings of the one or more vacant properties, generating one or more tags descriptive of the one or more photos based on the features that are extracted, receiving a preference from a user, and generating for output to the user one or more recommended properties based on a comparison of the one or more tags and the preference.

Systems and methods for vacant property identification and display

The disclosure includes embodiments for a phantom system. A method according to some embodiments is executed by an onboard vehicle computer. The method includes generating a model of a driving behavior of a target vehicle based on sensor data describing the driving behavior and a roadway environment. The method also includes determining a graphic of a phantom vehicle based on the model. The method also includes causing an electronic display of an ego vehicle to depict the graphic as an element of a graphical user interface that depicts the graphic and an image of a remote vehicle that is following the ego vehicle. For example, the method includes generating graphical data describing the graphical user interface including the graphic and the image and providing the graphical data to the electronic display to cause the electronic display to depict the graphical user interface including the graphic and the image.

Generating and depicting a graphic of a phantom vehicle

In one embodiment, a system includes a controller. The controller is configured to perform operations including obtaining data about an area related to a user, determining vacancy information about the area based on the data, determining at least one of an accessibility and a usability of the area, determining that the area is available for occupancy by one or more mobile units based on the vacancy information and at least one of the accessibility and the usability of the area, and updating a map including the area with an indication that the area is available for occupancy by one or more mobile units.

Methods and systems for identifying underused properties and utilizing underused properties by leveraging mobile units

The disclosure includes embodiments re-identification and revocation for misbehaving vehicle detection. A misbehaving vehicle is an example of an anomaly. A method includes receiving from a vehicular micro cloud, by a connected vehicle that is a member of the vehicular micro cloud, vehicular micro cloud data describing an anomaly and a first state of the anomaly in a geographic area. The method includes causing a sensor to record sensor data describing the geographic area. The method includes determining, based on the sensor data and the vehicular micro cloud data, whether the anomaly is still present and in the first state. The method includes generating evidence data describing a second state of the anomaly. The method includes transmitting the evidence data to the vehicular micro cloud. The method includes modifying an operation of the connected vehicle based on the evidence data.

Re-identification and revocation for misbehaving vehicle detection

A method for autonomous path planning triggered by freeway rubbernecking includes obtaining gaze directions of drivers of a plurality of connected vehicles in a region of a road. The method also includes determining whether an average speed of the plurality of connected vehicles in the region is less than a predetermined speed. The method further includes controlling mobility of one or more of the plurality of connected vehicles in response to determining that the gaze directions of one or more drivers of the plurality of connected vehicles deviate from the moving direction of the connected vehicles and determining that the average speed of the connected vehicles is less than the predetermined speed.

Methods and systems for autonomous path planning triggered by freeway rubbernecking

A system for monitoring a traffic condition can include a processor and a memory. The memory can store a preliminary operations module, a calculations module, and a communications module. The preliminary operations module can include instructions that cause the processor to obtain information about the traffic condition of stopped or slow moving vehicles. The calculations module can include instructions that cause the processor to: (1) define a monitoring zone that encloses the traffic condition and (2) determine, based on data about velocities of vehicles in the monitoring zone, that an error of a prediction of a position of a vehicle, associated with the traffic condition, is less than a threshold. The communications module can include instructions that cause the processor to: (1) receive the data and (2) cause, in response to a determination that the error is less than the threshold, the information to be communicated to vehicles.

Monitoring a traffic condition of stopped or slow moving vehicles

A controller for delivering an item is provided. The controller includes one or more processors, one or more memory modules, and machine readable instructions stored in the one or more memory modules. The controller is configured to determine a location or a traveling schedule of a first vehicle and a location of a second device, determine a zone where the first vehicle and the second device are expected to be proximate each other based on traffic information, the location or the traveling schedule of the first vehicle, and the location of the second device, instruct the first vehicle to move to the zone, and instruct the second device to transfer an item to the first vehicle in response to determining that the first vehicle and the second device are proximate each other at the zone.

Systems and methods for delivering items to moving vehicles

A system for assisting a maneuver of a moving object is provided. The system includes a plurality of unmanned aerial vehicles, and a computing device comprising a controller configured to: identify a maneuver location of the moving object based on location information associated with the moving object, determine one or more unmanned aerial vehicles among the plurality of unmanned aerial vehicles based on a proximity of the maneuver location and the plurality of unmanned aerial vehicles, dispatch the one or more unmanned aerial vehicles to the maneuver location, and transmit an instruction signal to the one or more unmanned aerial vehicles, wherein the instruction signal causes the one or more unmanned aerial vehicles to generate an indication configured to assist one or more vehicles approaching the maneuver location.

Systems and methods for assisting a maneuver of a moving object

A method of operating a traffic management system may comprise identifying a vehicle queue in a first lane of a road based on sensor data from one or more connected vehicles traveling along the road, determining driving instructions for a connected vehicle within a queue management region in a second lane, adjacent to the first lane, to create a gap in front of the connected vehicle for a vehicle in the vehicle queue to change lanes into the gap, and transmitting the driving instructions to the connected vehicle.

Integrated congested mitigation for freeway non-recurring queue avoidance

A method for deploying of a backup roadside unit (RSU) vehicle to provide on-demand RSU services is described. The method may include determining, by a server, a resource specification to deploy a selected backup RSU vehicle to a requested site. The determining of the resource specification may be performed by the server in response to a scene description received from a requestor. The method also includes sending a dispatch instruction to the selected backup RSU vehicle to deploy the selected backup RSU vehicle to the requested site. In this method, a hardware/software capability of the selected backup RSU vehicle is matched to the resource specification determined by the server.

System and method of using a vehicle as a backup roadside unit (RSU)

A system for communicating a traffic condition to an upstream vehicle can include a processor, disposed on an ego vehicle, and a memory. The memory can store a determination module and a communications module. The determination module can include instructions that cause the processor to determine, by the ego vehicle in a first lane, an existence of the traffic condition that includes a difference, between an actual velocity of a vehicle in a second lane and an expected velocity, being greater than a threshold. The communications module can include instructions that cause the processor to: () cause, in response to the existence, a communications device of the ego vehicle to communicate, to the upstream vehicle, information about the traffic condition and (2) cause, in response to an absence of the existence, the communications device to refrain from communicating, to the upstream vehicle, the information about the traffic condition.

Communicating a traffic condition to an upstream vehicle

The disclosure includes embodiments for managing vehicles under anomalous driving behavior. In some embodiments, a method includes determining, by the processor, an ego behavior associated with the ego vehicle and a remote behavior associated with a remote vehicle. The method includes calculating a variance between the ego behavior and the remote behavior. The method includes determining a presence of an anomaly based on the variance satisfying a threshold, wherein the satisfying the threshold indicates the ego behavior is incompatible with the remote behavior. The method includes generating a driving management plan which is configured to mitigate the anomaly and is consistent with the ego behavior. The method includes implementing the driving management plan so that the threshold is no longer satisfied.

Systems and methods to manage vehicles under anomalous driving behavior

In an example, a method may assign a first drone of a drone network a first task, the first task may instruct the first drone to transport a first package to a first destination in a geographic area. The method may receive roadway traffic data for a plurality of roadway vehicles in the geographic area; determine, based on the roadway traffic data and during transit of the first package to the first destination by the first drone, to transfer the first package to a second drone in the drone network; and transfer the first package to the second drone in the drone network.

Managing drones in vehicular system

System, methods, and embodiments described herein relate to receiving observation data from a reporting entity, the observation data including location data and sensor information associated with a subject vehicle, analyzing the observation data to identify ADR behavior of the subject vehicle, obtaining secondary observation data from secondary reporting entities in a vicinity determined based on the location data, determining, based at least in part on the secondary observation data, that the subject vehicle has engaged in the ADR behavior or that the subject vehicle has not engaged in the ADR behavior, analyzing the observation data and the secondary observation data, when the subject vehicle has been confirmed to have engaged in the ADR behavior, to determine a measure of effect that the ADR behavior has had on other vehicles, and executing a responsive action associated with the subject vehicle based at least in part on the measure of effect.

Anomalous driver detection system

An example method determines a plurality of traffic sections for a geographical traffic area, each traffic section including a road segment and vehicle(s) traveling on the road segment; monitors a responsive vehicle rate for a first traffic section of the plurality of traffic sections; and assigns, based on the responsive vehicle rate of the first traffic section, the first traffic section to one of a first section server dedicated to manage the first traffic section and a remote management server capable of managing the plurality of traffic sections of the geographical traffic area, the first section server comprising computing device(s) of responsive vehicle(s) in the first traffic section.

Growing community of inventors

Campbell, CA, United States of America

Baik Hoh