B60W2510/18

Systems and methods of connected driving based on dynamic contextual factors

Systems including one or more sensors, coupled to a vehicle, may detect sensor information and provide the sensor information to another computing device for processing. A system includes one or more sensors, coupled to a vehicle and configured to detect sensor information, and a computing device configured to communicate with one or more mobile sensors to receive the mobile sensor information, communicate with the one or more sensors to receive the sensor information, and analyze the sensor information and the mobile sensor information to identify one or more risk factors.

VEHICLE SYSTEM WITH ADJUSTABLE DRIVABILITY PARAMETERS
20230098827 · 2023-03-30 ·

Methods and systems for tuning vehicle drivability are provided. The vehicle system includes, in one example, a vehicle control unit (VCU) that is designed to electronically communicate with a human machine interface (HMI). In the system, the VCU is designed to, in reaction to receiving an acceleration or deceleration request from the HMI, send a virtual acceleration or deceleration command to a transmission control unit (TCU), where the virtual acceleration or deceleration command correlates to the acceleration or deceleration request and the correlation is user adjustable via a user interface (UI) of the VCU.

User-Centered Motion Planning In A Mobile Ecosystem
20230098988 · 2023-03-30 ·

A mobile ecosystem includes an autonomous control system in a vehicle. The autonomous control system receives user information from at least one of a user device or the vehicle and identifies a trajectory plan and a vehicle configuration based on the user information. The trajectory plan identifies a departure time for the vehicle to depart a starting location, an arrival time for the vehicle to arrive at a destination location, and a travel route for the vehicle to traverse at least partially between the starting location and the destination location. The trajectory plan may identify an entry time for the user to enter the vehicle. The vehicle configuration identifies travels settings for components in at least one of dynamic systems or interior systems of the vehicle. The autonomous control system causes the components to be configured according to the travel settings and causes the vehicle to traverse the travel route.

Automatic parking control device

An automatic parking control device is configured to: execute a rotation prediction process to calculate a predicted idle speed change portion by advancing an actual idle speed change portion by a brake response delay time; execute a driving force prediction process to calculate a predicted driving force change portion according to the predicted idle speed change portion; execute a braking force control process to calculate a change portion of a target vehicle braking force that cancels the predicted driving force change portion and instruct it to a brake device; and, when the brake response delay time is longer than an engine response delay time, execute a rotational speed control delay process to delay a target idle speed change by a rotational speed control delay time being longer than or equal to a difference obtained by subtracting the engine response delay time from the brake response delay time.

Method of estimating a vehicle load

A method of estimating a load on a vehicle (10), the method comprising: obtaining a first load estimate using a first load estimation technique; obtaining a second load estimate using a second load estimation technique; analysing characteristics of the first load estimate and the second load estimate; and, based on the analysis selecting either the first load estimate or the second load estimate as an output load estimate.

Driver re-engagement system

In a network of autonomous or semi-autonomous vehicles, an alert may be triggered when one of the vehicles switches from autonomous to manual mode. The alert may be communicated to nearby autonomous vehicles so that drivers of those vehicles may become aware of a potentially unpredictable manual driver nearby. Drivers of autonomous vehicles who may have become disengaged (e.g., sleeping, reading, talking, etc.) during autonomous driving may become re-engaged upon noticing the alert. A re-engaged driver may choose to switch his/her own vehicle from autonomous to manual mode in order to appropriately react to an unpredictable nearby manual driver. In additional or alternative embodiments, the alert may be triggered or intensified when indications of impairment of a nearby driver or malfunction of a nearby vehicle are detected.

Safety System for Vehicle Chassis Sensors
20220348212 · 2022-11-03 ·

The present disclosure concerns a safety system for a vehicle. The vehicle includes a tracking unit and at least one chassis sensor. The safety system may receive sensor data from the at least one chassis sensor and trusted data from the tracking unit, and then may detect an inconsistency between the sensor data and the trusted data. In response to the detection of the inconsistency, the safety system may block at least parts of the sensor data from the at least one chassis sensor.

Traction control based on friction coefficient estimation

Method and apparatus are disclosed for traction control based on friction coefficient estimation. An example vehicle includes a plurality of sensors to measure qualities of a surface of a road and an anti-lock brake system module. The anti-lock brake system module (a) estimates confidence values for different road surface types based on the qualities of the surface of the road, (b) estimates a coefficient of friction between the road and tires of the vehicle based on the confidence values, and (c) adapt a traction control system by altering a target slip based on the coefficient of friction.

VEHICLE SYSTEM

A vehicle system, including: an on-board device mounted on a vehicle; and a control device configured to control the on-board device such that the vehicle travels in a target traveling state, wherein the control device includes: a predicting portion that predicts a state of the on-board device when the vehicle travels in the target traveling state; and a modifying portion that modifies the target traveling state when the control device determines based on the state of the on-board device predicted by the predicting portion that an operation of the on-board device needs to be limited.

Method for accelerating a vehicle from rest

A method for accelerating a vehicle from rest. The method includes receiving a mode indication indicating a launch control mode selected; receiving a brake-on indication; controlling the engine according to a launch control strategy; determining an accelerator position; for an accelerator position greater than zero, controlling the engine to: increase open a throttle valve and control the engine to limit engine torque output; receiving a brake-off indication; controlling the engine according to the standard control strategy, controlling the engine according to the standard control strategy with the braking system having been released causing the vehicle to accelerate from rest, a first rate of acceleration from rest of the vehicle being greater than a second rate of acceleration from rest of the vehicle for corresponding changes in accelerator position, the first rate corresponding to accelerating from rest after controlling the engine according to the standard and launch control strategies.