Toyota Motor Engineering & Manufacturing North America, Inc.

Miles J Johnson

Christopher J Smalley

Danil V Prokhorov

Vladimeros Vladimerou

Kristofer Kusano

Yi Li

John H Marcoux

John-Michael McNew

Rini Sherony

Joshua E Domeyer

Paul Timothy Fanson

Ahmed Hamdi Sakr

Hideki Hada

Tina Brunetti Sayer

Gregg J Overfield

Yu Hiei

Matthew W Dreisbach

Prashant Tiwari

Kyungtae Han

Gaurav Bansal

John K Lenneman

Ziran Wang

Derek Stanley Caveney

Sergei S Avedisov

Ethan W Pomish

Stephen L Robertson

Corey Zwegers

Adam VanAntwerp

Shigenori Shibata

Chase Violetta

Mehmet Ali Guney

Guarav Bansal

Toshinori Esaka

Systems, methods, and other embodiments described herein relate to navigating a trailer after the physical connection between a vehicle and trailer disconnects. In one embodiment, a method includes responsive to determining that a physical connection between a vehicle and a trailer has disconnected, determining trajectory information for navigating the trailer without a connection to the vehicle. The method includes communicating the trajectory information to the trailer to cause the trailer to follow a trajectory associated with the vehicle. The method includes monitoring whether the trailer is following the trajectory.

Systems and methods for navigating a trailer with a vehicle when a physical connection disconnects

An apparatus includes processing circuitry configured to determine an actual driving performance of a driver in a manual driving mode and a projected driving performance if the vehicle had been operated in an autonomous driving mode, compare the driving performance in the manual driving mode and the autonomous driving mode, and transmit a feedback to the driver based on the comparison. The processing circuitry can be further configured to determine a driver state of the driver in the manual driving mode, determine environmental driving condition of the vehicle, and establish a baseline behavior of the driver as a function of the driver state and the environmental driving condition.

Driver and vehicle monitoring feedback system for an autonomous vehicle

Systems, methods, and other embodiments described herein relate to controlling a trailer without the presence of a physical connection. In one embodiment, a method includes in response to receiving a signal to initiate hitchless maneuvering of a trailer separately from a controlling vehicle, acquiring control inputs to maneuver the trailer from an input device within the controlling vehicle. The method includes communicating, from the controlling vehicle to the trailer, the control inputs to maneuver the trailer. The method includes in response to receiving feedback from the trailer indicating the trailer is within a requested position, sending a control signal to stop the trailer.

Systems and methods for controlling a trailer separately from a vehicle

Systems and methods are provided for data storage for a subject vehicle and include receiving data items at the subject vehicle data from a plurality of data sources and determining whether a data item received from one of the plurality of data sources is redundant with a data item already captured by the subject vehicle. If so, the system eliminates the redundant data item to obtain a nonredundant data set of nonredundant data items and determines whether to store a nonredundant data item of the nonredundant data set based on flow characteristics of the nonredundant data item.

Vehicular communications redundant data identification and removal

Based on a model and an identity of an operator of a vehicle, a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle can be determined. The model can be based on historical distances maintained by the operator. The model can also be based on information about an environment in which the vehicle is operating or information about a state of the operator. The identity can be received from an interface configured to receive information associated with the identity, a cloud computing platform, or a biometric system configured to determine the identity. The cruise control can be caused to operate according to the setting. A rate of energy consumption by the vehicle when the vehicle is controlled by the cruise control can be less than the rate of energy consumption when the vehicle lacks being controlled by the cruise control.

Determining a setting for a cruise control

A feedback server includes a processing circuitry configured to determine an actual driving performance of a driver in a manual driving mode and a projected driving performance if the vehicle had been operated in an autonomous driving mode, compare the driving performance in the manual driving mode and the autonomous driving mode, and transmit a feedback to the driver based on the comparison. The processing circuitry can be further configured to determine a driver state of the driver in the manual driving mode, determine environmental driving condition of the vehicle, and establish a baseline behavior of the driver as a function of the driver state and the environmental driving condition.

Apparatuses, systems, and methods relate to technology to control one or more systems to mitigate an oversteer condition of a vehicle or allow the oversteer condition, identify a curve in a roadway based on sensor data associated with the vehicle, based on the curve in the roadway, conduct an identification that the oversteer condition is to be allowed for at least a portion of the curve, and in response to the identification that the oversteer condition is to be allowed, controlling the one or more systems to allow the oversteer condition for the at least the portion of the curve.

Electronic stability management for oversteer engagement based on sensor data

A method for predicting lane error based on an identifier of a lane segment is disclosed. The method includes receiving a predicted location in a lane segment of a plurality lane segments for a first vehicle traveling on the lane segment. The method includes receiving a determined location of the first vehicle in the lane segment for the first vehicle. The method includes determining a difference between the predicted location in the lane segment received for the first vehicle and the determined location of the first vehicle in the lane segment. The method includes providing the determined difference between the predicted location in the lane segment received for the first vehicle and the determined location of the first vehicle in the lane segment and an identifier of the lane segment as first training data to a lane error estimation model.

System and method for estimating lane prediction errors for lane segments

System, methods, and other embodiments described herein relate to detecting a lane change of a target vehicle ahead of an ego vehicle. In one approach, a method includes receiving communications from a target vehicle specifying state information about the target vehicle. The method includes determining a location of a first decision point at a first distance ahead of an ego vehicle and acquiring sensor data about the target vehicle. The method includes determining motion information about the target vehicle based on the sensor data. The motion information includes positions that the target vehicle occupied relative to the ego vehicle. The method includes storing the state information and motion information for a first amount of time, and determining whether the target vehicle has changed lanes based on the state information and the motion information that has been stored once the ego vehicle has reached the first decision position.

System and method for determining a lane change of a preceding vehicle

System, methods, and other embodiments described herein relate to determining traffic flow along a roadway segment. In one embodiment, a method includes collecting, in an electronic data store from reporting vehicles that travel over the roadway segment, traffic data about at least surrounding vehicles of the reporting vehicles. The method includes analyzing the traffic data to identify a traffic flow for the respective lanes of the roadway segment. The method includes providing a signal identifying the traffic flow.

Systems and methods for determining traffic flow using observations of surrounding vehicles

In one embodiment, example systems and methods relate to a manner of providing lane curvature estimations. As vehicles travel, lane curvature estimates for lane segments as provided by the vehicle lane curvature estimation systems are collected. The estimated lane curvatures and the actual paths of the vehicles as they traveled in the lane segments are used as training data for a model that can both determine if a lane curvature estimate for a lane segment is likely incorrect and provide a correct lane curvature estimate. When a vehicle later travels such a lane segment, the model can be used to provide the vehicle with a correct lane curvature estimate. The correct estimate can be used by the vehicle in place of an estimate generated by the existing lane curvature estimation system of the vehicle.

System and method for providing lane curvature estimates

The virtual reality navigation system can display the position of an autonomous vehicle at a predetermined amount of time in the future via virtual reality. A virtual reality display can display a virtual reality autonomous vehicle, as if the virtual reality autonomous vehicle is the autonomous vehicle operating at the predetermined amount of time in the future. Additionally, a virtual reality interface can provide an interface for an operator to interact with the environment of the autonomous vehicle. The virtual reality interface can receive an alternate route selection, and display in virtual reality the one or more maneuvers that would be required to reach the selection.

Autonomous vehicle virtual reality navigation system

One or more roadway features can be determined based on information received from one or more vehicles traveling on a roadway. A data packet can be received from a remote vehicle. The data packet can include data corresponding to locations and headings of the remote vehicle. A path history for the remote vehicle can be determined based on the data packet. The path history can include data points corresponding to a plurality of locations and headings for the remote vehicle. A geometry for a portion of the roadway preceding the remote vehicle can be determined using the path history. The determined geometry of the roadway can be used to determine a driving maneuver for a vehicle and/or to verify a map.

Determination of roadway features

System, methods, and other embodiments described herein relate to identifying lane obstructions. In one embodiment, a method includes collecting, in an electronic data store, position data of surrounding vehicles observed by reporting vehicles that travel over a roadway segment. The method includes analyzing the position data to identify whether observed positions correlate with an obstruction pattern that is indicative of a lane obstruction in at least one lane of the roadway segment. The method includes, in response to determining the position data indicates the lane obstruction, providing a signal identifying the lane obstruction to oncoming vehicles of the roadway segment.

Systems and methods for inferring lane obstructions

One or more dynamic trailing objects can be detected in an external environment of a vehicle. Position data of the dynamic trailing object(s) can be acquired. It can be determined whether a current position of one of the trailing objects is at substantially the same longitudinal position as a previous position of the ego vehicle. If the current position of the dynamic trailing object is at substantially the same longitudinal position as a previous position of the ego vehicle, a lateral offset between the current position of the trailing object and the previous position of the ego vehicle can be determined. The lateral offset can be used to identify a current travel lane of the ego vehicle, determine lane crossings, and/or determine travel lane probability distributions.

Growing community of inventors

Ann Arbor, MI, United States of America

Miles J Johnson