Other

Toyota Jidosha Kabushiki Kaisha

Chung-Wei Lin

Shinichi Shiraishi

BaekGyu Kim

Nikos Arechiga

Siyuan Dai

Huafeng Yu

Bowen Zheng

Zhihao Jiang

Masahiro Yamaura

Muhammed O Sayin

Qianao Ju

The disclosure includes embodiments for managing roadway intersections for vehicles. A method includes receiving, at a connected roadway device, request messages from a first vehicle and an other vehicle to reserve an intersection. The method further includes checking time-token balances associated with the first vehicle and the other vehicle. The method further includes responsive to the time-token balances being positive for both of the time-token balances, reserving the intersection for the first vehicle based on the request messages. The method further includes transmitting reservation data to the first vehicle and the other vehicle. The method further includes transmitting a traffic light control message to a traffic light, wherein the traffic light control message instructs the traffic light to display a green light while the first vehicle moves through the intersection.

Managing roadway intersections for vehicles

The disclosure includes implementations for a connected vehicle receiving cached electronic control unit ('ECU' if singular or 'ECUs' if plural) mapping solutions via a network. Some implementations of a method for a vehicle may include identifying a presence of one or more functions associated with a vehicle control system. The method may include generating a query including a mapping problem describing one or more questions about which of one or more ECUs should execute the one or more functions. The method may include providing the query to a network. The method may include receiving a response from the network. The response may include a mapping solution that describes which of the one or more ECUs should execute the one or more functions. The method may include mapping the one or more functions to the one or more ECUs as described by the mapping solution.

Caching electronic control unit mapping solutions for connected vehicles

The disclosure includes embodiments for managing a flow of traffic through an intersection. In some embodiments, a method for a roadside device proximate to the intersection of a roadway includes retrieving twin data describing one or more digital behavioral twins of a vehicle present in a vicinity of the intersection. The method includes retrieving sensor data describing a driving context of the vehicle. The method includes modifying an operation of an Advanced Driver Assistance System (ADAS) of the vehicle to achieve managing the flow of traffic including the vehicle through the intersection based on the driving context and the one or more digital behavioral twins of the vehicle to improve safety and traffic efficiency within an intersection range.

Digital behavioral twin system for intersection management in connected environments

In an example embodiment, a method receives a first request of a first vehicle for a content item; receives travel data of the first vehicle including a first vehicle route of the first vehicle; determines first edge server(s) located on the first vehicle route of the first vehicle; segments the content item into content segment(s) based on the travel data of the first vehicle and edge information of each first edge server; and dispatches each content segment to the corresponding first edge server for transmission to the first vehicle.

Edge-assisted data transmission for connected vehicles

An accuracy level for an ego vehicle is determined based on data provided by a first remote vehicle. The ego vehicle receives data describing information about the first remote vehicle that includes a sensor measurement. The ego vehicle determines that the data is inconsistent with local sensor data. The ego vehicle requests remote accuracy data from a set of remote vehicles, wherein the remote accuracy data describes an accuracy of the sensor measurement. The ego vehicle determines ego accuracy data for the first remote vehicle based on the remote accuracy data that is received from the set of remote vehicles, wherein the ego accuracy data describes an accuracy level for the first remote vehicle. The ego vehicle determines whether to input the data to the ADAS system based on the accuracy level.

Accuracy system for connected vehicles

The disclosure includes embodiments for improving a performance of a set of Advanced Driver Assistance Systems ('ADAS systems') included in a vehicle by decreasing a latency for processing a set of input/output ('I/O') requests generated by one or more active ADAS systems from the set of ADAS systems. A method includes determining situation data describing a driving situation for the vehicle. The method includes identifying the one or more active ADAS systems from the set of ADAS systems for the driving situation. The method includes determining whether an input/output (&#x201c;I/O&#x201d;) communication conflict exists for the one or more active ADAS systems. The method includes applying at least one of a direct I/O strategy and a virtual I/O strategy to the set of I/O requests based on whether the I/O communication conflict exists.

Vehicle with improved I/O latency of ADAS system features operating on an OS hypervisor

The disclosure includes embodiments for providing on-demand street lighting for a connected vehicle. In some embodiments, a method includes controlling an operation of a street light based on a lighting policy and a presence of a connected vehicle. In some embodiments, the street light is operated consistent with the lighting policy. In some embodiments, the presence of the connected vehicle is determined based on a receipt of a wireless message that is transmitted by the connected vehicle. In some embodiments, the lighting policy is operable to reduce an energy consumption of the street light while also providing illumination for the connected vehicle.

On-demand street lighting for a connected vehicle

The disclosure includes embodiments for providing augmented reality ('AR') vehicular assistance for drivers who are colorblind. A method according to some embodiments includes identifying an illuminated light in a driving environment of a vehicle that includes an AR headset. The method further includes determining a vehicular action to be taken responsive to the illuminated light being identified in the driving environment of the vehicle. The method further includes displaying an AR overlay using the AR headset that visually depicts a word which describes the vehicular action to be taken responsive to the illuminated light being identified.

Augmented reality vehicular assistance for color blindness

In an example embodiment, a computer-implemented method is disclosed that computes, using one or more processors, a path slack value for each path of a set of paths of a functional computing model. Each path of the set of paths comprises a set of tasks and the path slack value of each path reflects a difference between a deadline and a latency of the path. The method further determines a priority of each task of the set of tasks of each path based on the path slack value of the path, and allocates, using the one or more processors and based on the priority of each task, the tasks of each of the paths of the set to corresponding computing units from a set of computing units of an architectural platform.

Efficient mapping from task graphs to dynamic system platforms

The disclosure includes embodiments for providing augmented reality ('AR') vehicular assistance for drivers who are color blind. A method according to some embodiments includes identifying an illuminated light in a driving environment of the vehicle based on sensor data recorded by a sensor. The method includes determining a color of the illuminated light based on the sensor data. The method includes determining if the color is of a specific type. The method includes determining a vehicular action to be taken responsive to the color being of the specific type. The method includes displaying an AR overlay using the AR viewing device that visually depicts a word which describes the vehicular action to be taken.

Personalized augmented reality vehicular assistance for color blindness condition

The disclosure includes implementations for executing one or more computations for a vehicle. Some implementations of a method for a vehicle may include identifying one or more computations as being un-executable by any processor-based computing device of the vehicle. The method may include generating a query including query data describing the one or more computations to be executed for the vehicle. The method may include providing the query to a network. The method may include receiving a response from the network. The response may include solution data describing a result of executing the one or more computations. The response may be provided to the network by a processor-based computing device included in a hierarchy of processor-based computing devices that have greater computational ability than any processor-based computing devices of the vehicle.

Hierarchical structures of online computation for connected vehicles

The disclosure includes embodiments for implementing a function update for an Advanced Driver Assistance System ('an ADAS system') of a vehicle. In some embodiments, the method includes the vehicle receiving a Dedicated Short Range Communication message ('a DSRC message') on a 5.9 gigahertz band. The DSRC message includes digital data that describes a driving situation of one or more other vehicles in relation to the vehicle. The method includes determining, based on the driving situation described by the digital data, to implement the function update for the ADAS system by reconfiguring a Field-Programmable Gate Array (&#x201c;an FPGA&#x201d;) of the vehicle which is operable to control an operation of the ADAS system. The method includes reconfiguring the FPGA of the vehicle to implement the function update so that the FPGA controls the operation of the ADAS system in a manner that conforms to the function update.

Implementation decision to provide ADAS function update for a vehicle

An example method broadcasts a first message to a vehicle entering a coverage area of an access point proximate a roadway, and receives a response from the vehicle under local advanced drive assistance system (ADAS) control within the coverage area. The method determines, based on the ADAS capability of the vehicle, whether to assume a first remote ADAS control of the vehicle by a remote ADAS controller communicating with the vehicle via the access point. In response to determining to assume the first remote ADAS control, the method requests override permission for the first remote ADAS control from a local ADAS controller of the vehicle, receives an override confirmation from the local ADAS controller permitting the first remote ADAS control within the coverage area of the access point, and responsive to receive the override confirmation, provides a first remote ADAS control instruction to the local ADAS controller of the vehicle.

Selective remote control of ADAS functionality of vehicle

The disclosure includes implementations for modifying an operation of an Advanced Driver Assistance System ('ADAS system') of a vehicle based on one or more preferences of a user for the operation of the ADAS system. Some implementations of a method may include receiving a wireless message from a wireless network. The wireless message may include optimization settings data describing how to modify an operation of the ADAS system of the vehicle based on one or more preferences of a user for the operation of the ADAS system. The user may include a human who has reserved the vehicle for their use. The method may include modifying one or more control parameters of the ADAS system based on the optimization settings data so that the operation of the ADAS system conforms with the one or more preferences of the user for the operation of the ADAS system.

User profile-based automatic parameter tuning system for connected vehicles

The disclosure includes implementations for supervising a data load for a vehicle. The method may include receiving report data that may describe a data load for the supervised component. The method may include retrieving specification data for the supervised component that describes a threshold for the data load. The method may include performing an analysis of the data load to determine whether the data load exceeds the threshold. The method may include providing graphical data to an electronic display panel to cause the electronic display panel to display a message responsive to the analysis indicating that the data load exceeds the threshold. The method may include providing an accommodation to the supervised component so that the data load does not exceed the threshold, where the accommodation includes stopping an operation of a device of the vehicle.

Growing community of inventors

Mountain View, CA, United States of America

Chung-Wei Lin