Other

Omnipv, Inc.

Lightwave Microsystems Corporation

Toyota Jidosha Kabushiki Kaisha

Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Motor North America, Inc.

Ultradots, Inc.

Soft Wear, Inc.

Trestles Healthcare, Inc.

John P Kenney

Hongsheng Lu

Gaurav Bansal

William Pfenninger

Nemanja Vockic

Takayuki Shimizu

Jian Jim Wang

Toru Nakanishi

Onur Altintas

Anthony J Ticknor

John A Midgley

Dudley A Saville

Ken G Purchase

Marc A Stiller

Giacomo Vacca

Yoshiharu Doi

Roger D Melen

Kai Shum

Edward S Binkley

Ling Yu

Ian Gibbons

Rui Guo

Mikko Saily

Michael C Edwards

Chang-Heng Wang

Torsten Wildschek

Hilary Sue Lackritz

Akila C Ganlath

Bin Cheng

Taylan Sahin

Nejib Ammar

Jay Bartholomew

Marlan J Holland

Qi Chen

Jason Schell

Michael Clifford

Ceyhun D Ozkaptan

Fanxin Wu

Mirna Resan

John Varadarajan

Isfar Tariq

William Matthew Pfenninger

William M Pfenninger

A method for positioning in a sidelink communication. The method includes detecting, by an anchor component, a presence of at least one user equipment; and activating, by the anchor component, a transmission of a positioning reference signal to the user equipment responsive to the detected presence of the at least one user equipment.

Transmission of positioning reference signals for sidelink communications

Systems, methods, and other embodiments described herein relate to reconstructing a dynamic scene using Neural Radiance Field (NeRF) technology. In one embodiment, a method includes receiving, from one or more sensors, a plurality of video clips of an environment. The method includes generating a second plurality of video clips based on the plurality of video clips, and reconstructing, using NeRF technology, a scene as a continuous function based on the second plurality of video clips.

Dynamic scene reconstruction using neural radiance field technology

One example embodiment provides one or more of: measuring, via a user equipment (UE), sidelink received signal strength indicator (SL-RSSI) values and sidelink reference signal power received (SL-RSRP) values from a current window of a communication channel shared among a plurality of UEs, measuring, via the UE, the SL-RSRP values from a frequency-domain and a time-domain of a current window of a communication channel shared among the plurality of UEs, excluding a first subset of communication resources from a next window of the communication channel based on the RSSI values in the current window, excluding a first subset of communication resources from a next window of the communication channel based on the SL-RSRP values from a time-domain, excluding a second subset of communication resources from the next window of the communication channel based on the RSRP values, excluding a second subset of communication resources from the next window of the communication channel based on the SL-RSRP values from a frequency-domain, and selecting and reserving resource(s) remaining in the next window of the communication channel after exclusion of the first and second subsets of communication resources from the next window.

Resource selection for 5G NR V2X communications

A vehicle includes one or more sensors configured to obtain raw data related to a scene, one or more processors, and machine readable instructions stored in one or more memory modules. The one machine readable instructions, when executed by the one or more processors, cause the vehicle to: process the raw data with a first neural network stored in the one or more memory modules to obtain a first prediction about the scene, transmit the raw data to a computing device external to the vehicle, receive a second prediction about the scene from the computing device in response to transmitting the raw data to the computing device, and determine an updated prediction about the scene based on a combination of the first prediction and the second prediction.

Methods and systems for enhanced scene perception using vehicle platoon

The disclosure includes implementations for providing a recommendation to a driver of a second DSRC-equipped vehicle. The recommendation may describe an estimate of how long it would take the second DSRC-equipped vehicle to receive a roadside service from a drive-through business. A method according to some implementations may include receiving, by the second DSRC-equipped vehicle, a Dedicated Short Range Communication message ('DSRC message') that includes path history data. The path history data may describe a path of a first DSRC-equipped vehicle over a plurality of different times while the first DSRC-equipped vehicle is located in a queue of the drive-through business. The method may include determining delay time data for the second DSRC-equipped vehicle based on the path history data for the first DSRC-equipped vehicle. The delay time data may describe the estimate. The method may include providing the recommendation to the driver. The recommendation may include the estimate.

Roadside service estimates based on wireless vehicle data

Methods and systems for verifying a state of a road. The system includes a sensor of a vehicle configured to detect sensor data associated with the road. The system also includes a memory of the vehicle configured to store map data. The system also includes an electronic control unit (ECU) of the vehicle connected to the sensor and configured to determine road data or maneuvering data associated with the road based on the sensor data, and update the map data with the determined road data or maneuvering data.

System and method for verifying roads

The disclosure describes embodiments for modifying a vehicle component of an ego vehicle based on ranging and misbehavior information determined from digital data included in a Vehicle-to-Everything (V2X) message. In some embodiments, a method includes generating Received Signal Strength (RSS) data describing an RSS value for the V2X message which is originated by a remote vehicle. The method includes determining range data corresponding to the RSS value describing a first range from the ego vehicle to the remote vehicle. The method includes determining that the remote vehicle is providing inaccurate sensor data (an example of misbehavior information) by comparing the first range to a second range which is described by the sensor data which is extracted from the V2X message. The method includes modifying an operation of the vehicle component so that the vehicle component does not consider the sensor data that is provided by the remote vehicle.

Vehicle component modification based on vehicle-to-everything communications

The disclosure includes embodiments for an ego vehicle to detect misbehavior. According to some embodiments, a method includes receiving a V2X message from an attacker. The V2X message includes V2X data describing a location of an object at a target time. The method includes receiving a set of CPMs from a set of remote devices. The set of CPMs include remote sensor data describing a free space region within the roadway environment. The method includes determining a relevant subset of the CPMs include remote sensor data that is relevant to detecting misbehavior. The method includes determining, based at least in part on the remote sensor data of the relevant subset, that the object is not located at the location at the target time. The method includes detecting the misbehavior by the attacker based on the determination that the object is not located at the location at the target time.

Misbehavior detection for vehicle-to-everything messages

Described herein are embodiments that provide out-of-band authentication for vehicular communications using Joint Automotive Radar Communications ('JARC' if singular, 'JARCs' if plural). A method includes receiving, by a directional radio of a connected vehicle, a directional communication having a payload that includes the first temporary identifier and sensor data for a purported transmitter of the directional communication. The method includes initiating, by the directional radio and a radar of the connected vehicle, a set of JARCs with the purported transmitter to determine an authenticity status of the first temporary identifier. The method includes executing a vehicular action for the payload of the directional communication responsive to the authenticity status.

Out-of-band authentication for vehicular communications using joint automotive radar communications

The disclosure describes embodiments for vehicle-to-everything (V2X) data transfer for automated vehicles. In some embodiments, a method includes providing or attempting to provide, by a communication unit of an ego vehicle, digital data to a communication device based on a mode of the communication unit, where the digital data is relayed by the communication device to be received by a server. The method includes determining, by a processor of the ego vehicle, feedback that describes a bandwidth constraint of the communication unit. The method includes modifying, by the processor, the mode based on the feedback so that the mode is consistent with the bandwidth constraint and the digital data is successfully received by the server.

Vehicle-to-everything data transfer for automated vehicles

The disclosure includes embodiments for providing augmented graphical data on a user device. In some embodiments, a method includes receiving, by the user device, a Vehicle-to-Everything (V2X) wireless message transmitted by a ride share vehicle and including V2X data describing the ride share vehicle. The method includes generating augmented graphical data based on the V2X data, where the augmented graphical data describes an augmented version of an image captured by the user device and depicting a real-life environment that includes the ride share vehicle, where the augmented version highlights a position of the ride share vehicle within the real-life environment. The method includes presenting the augmented graphical data on the user device so that the ride share vehicle is more easily located in the real-life environment.

AR/VR/MR ride sharing assistant

The disclosure includes embodiments for theft deterrent for a connected vehicle using Basic Safety Message (BSM)-based Vehicle-to-Anything (V2X) communication. In some embodiments, a method includes receiving, by a V2X radio, a wireless message that is transmitted by a first connected vehicle whose ignition is disengaged. In some embodiments, the method includes determining, based on a payload of the wireless message, that the first connected vehicle is being subjected to criminal activity. In some embodiments, the method includes taking a remedial action responsive to determining that the first connected vehicle is being subjected to criminal activity. In some embodiments, the remedial action is operable to deter the occurrence of the criminal activity (i.e., stop the first connected vehicle from being stolen) or gather visual evidence of the criminal activity.

Theft deterrent system for connected vehicles based on wireless messages

The disclosure describes a method for an ego vehicle. The method includes providing roaming data to a server, the roaming data describing a roaming pattern of the ego vehicle in a geographic area as a function of time. The method further includes providing a request to the server that describes a need for the ego vehicle to park. The method further includes receiving, from the server, a geographic location of an available parking spot and an estimated length of time the available parking spot will remain available.

Vehicle parking spot availability prediction based on vehicle-to-anything enabled machine learning

The disclosure includes embodiments for estimating pedestrian density data based on one or more Personal Safety Messages (PSM message). A method includes, according to some embodiments, receiving, by a first dedicated short range communication (DSRC) chip of a DSRC-enabled vehicle, a PSM message including an instance of pedestrian safety message data (PSM data) describing a geographic location of a pedestrian. The method includes executing an analysis of the instance of PSM data to determine that the pedestrian is present at a business based on the geographic location being within a known geographic area for the business. In some embodiments, this analysis is executed for a plurality of instances of PSM data. The method includes generating pedestrian density data for the business that describes how many pedestrians are present at the business based on executing the analysis for the plurality of instances of PSM data.

Vehicular PSM-based estimation of pedestrian density data

The disclosure includes embodiments for matching riders to drivers for a ride sharing service based on a V2X message variable. In some embodiments, a method for a first connected device includes: receiving a first V2X broadcast message from a second connected device, where the first V2X broadcast message includes a request for the ride sharing service; determining a first V2X-message variable associated with the first V2X broadcast message; executing a ride-share matching process to match the first connected device with the second connected device based at least in part on the first V2X-message variable so that a delay of the ride-share matching process is minimized; and responsive to a completion of the ride-share matching process, modifying an operation of the communication unit to establish a secure communication between the first connected device and the second connected device for exchanging ride share information for the ride sharing service.

Matching a first connected device with a second connected device based on vehicle-to-everything message variables

Growing community of inventors

Laguna Niguel, CA, United States of America

John P Kenney