B60W2552/25

Parameters sets for vehicles based on sensor data

In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.

Navigating a vehicle using a crowdsourced sparse map
10558222 · 2020-02-11 · ·

Systems and methods are provided for navigating a vehicle using a crowdsourced sparse map. In one implementation, a method of autonomously navigating a vehicle along a road segment may include receiving a sparse map model, receiving at least one image representative of an environment of the vehicle, analyzing the sparse map model and the at least one image, and determining an autonomous navigational response for the vehicle based on the analysis of the sparse map model and the at least one image. The at least one image may be received from a camera, and the sparse map model may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature.

Information processing apparatus and information processing method

An information processing apparatus capable of communicating with a vehicle includes a storage unit configured to store a location of an autonomous driving prohibition section on a map in association with a release condition set based on a traveling state of the vehicle; and a control unit configured to acquire the traveling state of the vehicle including the location of the vehicle on the map from the vehicle through communication, the control unit being configured to determine whether or not to release the autonomous driving prohibition section based on the acquired traveling state of the vehicle, the location of the autonomous driving prohibition section and the release condition of the autonomous driving prohibition section, the location and the release condition being stored in the storage unit.

Hybrid electric vehicle control system and method

Embodiments of the invention provide a control system for a hybrid electric vehicle, the vehicle having a powertrain comprising at least one electric propulsion motor and at least one engine, the control system being operable to control the vehicle to operate in an electric vehicle (EV) mode in which the at least one engine remains switched off and the at least one electric propulsion motor is configured to deliver drive torque and a boost mode in which the at least one engine is switched on to provide additional power to drive the vehicle. When the vehicle is operating in EV mode the system is further operable to determine whether a boost location exists ahead of the vehicle being a location at which a gradient of a driving surface is sufficiently high to require selection of the boost mode, the control system being operable automatically to command starting of the at least one engine before the boost location is reached.

Operating a vehicle comprising vehicle retarding subsystem

A method of operating a vehicle comprising at least a first vehicle retarding subsystem controllable to retard the vehicle, and processing circuitry coupled to the at least first vehicle retarding subsystem, the method comprising the steps of: acquiring, by the processing circuitry from the first vehicle retarding subsystem, at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; and determining, by the processing circuitry, a measure indicative of a retardation energy capacity currently available for retardation of the vehicle, based on: the acquired at least one value indicative of current energy accumulation by the first vehicle retarding subsystem; a predefined model of retardation energy accumulation by the first vehicle retarding subsystem; and a predefined limit indicative of a maximum allowed energy accumulation by the first vehicle retarding subsystem.

Method for operating a motor vehicle during an autonomous parking process, computer program, electrical storage medium and open- loop and closed-loop control device for a motor vehicle
11945459 · 2024-04-02 · ·

In a method for operating a motor vehicle during an autonomous parking process it is proposed that during the autonomous parking process a first braking torque is applied automatically to at least a first wheel, and a second braking torque is applied automatically to at least a second wheel, that a slip of one of the wheels is inferred from a comparison of the rotational speed of the first wheel to which the first braking torque is applied with the rotational speed of the second wheel to which the second braking torque is applied, and that if a variable characterizing the slip reaches or exceeds a limiting value, an action is automatically triggered.

VEHICLE INFORMATION MANAGEMENT DEVICE
20240112291 · 2024-04-04 · ·

A vehicle information management device includes: a processor, wherein the processor is configured to: before a vehicle arrives at a planned vehicle boarding area of a user, acquire road surface information of the planned vehicle boarding area; based on the road surface information, determine whether or not a road surface height of a planned vehicle boarding position, at which the user is waiting at the planned vehicle boarding area, is a height at which a ramp of the vehicle can be deployed; and in a case in which the road surface height is determined to not be a height at which the ramp can be deployed, propose a change of the planned vehicle boarding position to the user.

DEVICES, SYSTEMS, AND METHODS FOR REMOTE AUTHORIZATION OF VEHICLE PLATOONING

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

Information processing apparatus and information processing method

An information processing apparatus capable of communicating with a plurality of autonomous driving vehicles includes: a storage unit configured to store a location of an autonomous driving difficult section on a map in association with a predetermined release condition; and a control unit configured to acquire from the plurality of autonomous driving vehicles reporting data of each of the autonomous driving vehicles through communication, the reporting data including a location of the vehicle on the map and at least one of reliability of the autonomous driving, difficulty state information indicative of the autonomous driving being difficult or not difficult, and a result of driver intervention, and the control unit being configured to determine whether to release the autonomous driving difficult section based on the acquired reporting data and on the location and the release condition of the autonomous driving difficult section stored in the storage unit.

MULTI-NETWORK-BASED PATH GENERATION FOR VEHICLE PARKING
20190291720 · 2019-09-26 ·

Systems and methods of deep neural network based parking assistance is provided. A system can receive data sensed by one or more sensors mounted on a vehicle located at a parking zone. The system generates, from a first neural network, a digital map based on the data sensed by the one or more sensors. The system generates, from a second neural network, a first path based on the three-dimensional dynamic map. The system receives vehicle dynamics information from a second one or more sensors located on the vehicle. The system generates, with a third neural network, a second path to park the vehicle based on the first path, vehicle dynamics information and at least one historical path stored in vehicle memory. The system provides commands to control the vehicle to follow the second path to park the vehicle in the parking zone.