A method for controlling a brake fluid pressure using an ESC system in a vehicle is to reduce the braking distance and increase braking safety of a vehicle on a wet road surface by performing brake fluid pressure control based on precipitation data.

A braking assist control device for a vehicle including a detector and a braking assist control device is provided. The braking assist control device includes an acquisition unit configured to acquire information on an ambient environment of an own vehicle from the detector, and a control unit configured to cause the braking assist device to perform intersection entry prevention assist in a case where it is determined, using the acquired information on the ambient environment, that the own vehicle is approaching an intersection and an own lane in which the own vehicle is traveling is a non-priority lane with respect to an intersecting lane.

A system (e.g., a vehicle control system) includes a brake control unit that is configured to be operably deployed onboard a vehicle. The brake control unit has one or more sensor inputs and one or more control outputs. One of the sensor units is configured to receive a speed signal from a speed sensor of the vehicle; the speed signal is indicative of a vehicle speed detected by the speed sensor. One of the control outputs is configured for connection to a brake system of the vehicle. The brake control unit is configured to generate a vehicle control signal to initiate a vehicle brake operation responsive to the speed indicated by the speed signal going above a designated first speed threshold and the speed signal meeting one or more first designated criteria in addition to the first speed threshold.

A monitoring system for a brake assembly of a vehicle may include a temperature sensor disposed proximate to the brake assembly to measure an actual temperature of the brake assembly, a controller operably coupled to the temperature sensor and comprising a thermal model, the controller being configured to determine a predicted temperature of the brake assembly using the thermal model, and a user interface operably coupled to the controller to provide a notification to an operator of the vehicle. The controller may compare the actual temperature to the predicted temperature and may automatically generate the notification responsive to the actual temperature exceeding the predicted temperature by a threshold amount.

A brake state estimation device includes: a position acquisition section that acquires a position of a subject vehicle; and a state estimation section that estimates a state of deterioration of brake fluid for operating a hydraulic brake device of the subject vehicle, on the basis of humidity information corresponding to the position of the subject vehicle, and duration information expressing a duration of staying in an area that includes the position of the subject vehicle.

Systems and methods are provided for variable actuation and release of a vehicle's brake hold mechanism/function. A brake hold device may be implemented as a tuner or controller that can connect to and override, e.g., the default functionality of an existing brake hold mechanism of a vehicle. Delays in exiting a brake hold state, repetitive actuation of an accelerator to exit a brake hold state, and other shortcomings associated with the conventional operation of brake hold mechanisms may be avoided by taking into account relevant vehicle operating conditions or environmental/road/traffic conditions.

Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, the disclosed technology can include receiving state data that includes information associated with states of an autonomous vehicle and an environment external to the autonomous vehicle. Responsive to the state data satisfying vehicle stoppage criteria, vehicle stoppage conditions can be determined to have occurred. A severity level of the vehicle stoppage conditions can be selected from a plurality of available severity levels respectively associated with a plurality of different sets of constraints. A motion plan can be generated based on the state data. The motion plan can include information associated with locations for the autonomous vehicle to traverse at time intervals corresponding to the locations. Further, the locations can include a current location of the autonomous vehicle and a destination location at which the autonomous vehicle stops traveling.

A target acceleration/deceleration setting unit (28) of a vehicle acceleration/deceleration controller (16) sets a target acceleration or deceleration at a location at which a curve starts to be a predetermined maximum deceleration, sets a target acceleration or deceleration at a location at which the curve ends to be a predetermined maximum acceleration, sets a target acceleration or deceleration at a predetermined intermediate location between the location at which the curve starts and the location at which the curve ends to be zero, and sets a target deceleration D (Ld) at a location to which the travelling distance from the location at which the curve starts is Ld and a target acceleration A (La) at a location to which the travelling distance from the predetermined intermediate location is La to satisfy respective predetermined relations.

Disclosed is a road condition prediction system for vehicles. First, a computing device receives ambient temperature and relative humidity data from a vehicle, the ambient temperature and relative humidity data having been collected by a tire sensor mounted to an exterior of a tire of the vehicle or an exterior of a wheel of the vehicle. Then, the computing device applies a machine-learning model to the temperature and humidity data from the vehicle to predict a road condition for the vehicle. Subsequently, the computing device sends the road condition for the vehicle to a control system of the vehicle.

A computer system including processing circuitry configured to obtain light data from a light-based scanning device; obtain trajectory data of an upcoming trajectory of a vehicle; generate a frame of reference for the light-based scanning device, the frame of reference indicating positional relationships of a plurality of light points based on the light data and a plurality of trajectory points based on the trajectory data; for one or more given trajectory points, identify a non-overlapping region in the frame of reference where no light points are collocated at the one or more given trajectory points; and determine the lens coverage condition based on a position of the vehicle in relation to the identified non-overlapping region.