A system for predicting tire lift-off propensity of a vehicle tire includes a vehicle tire-affixed tire-identification device for providing a tire-specific identification, multiple tire-affixed sensors mounted to the tire measuring tire-specific parameters and generating tire-specific parameter information, one or more vehicle-affixed sensor(s) mounted to the vehicle to measure vehicle speed and a lift-off propensity estimator generating a lift-off propensity for the vehicle tire from a database containing experimentally-derived, tire-ID specific, lift-off propensities correlated with measured tire-specific parameter information and vehicle speeds.

To achieve an information processing apparatus and a mobile apparatus that individually calculate an inclination of the mobile apparatus itself and an inclination of a traveling surface. A measurement value of an air pressure sensor that measures an air pressure of a tire of the mobile apparatus is received, and the inclination of the mobile apparatus is calculated on the basis of the tire air pressure. Furthermore, a measurement value of an absolute pressure sensor attached to the mobile apparatus is received, and an angle of the traveling surface on which the mobile apparatus travels and a position of the mobile apparatus are calculated on the basis of a horizontal movement amount of the mobile apparatus and a vertical movement amount that is calculated on the basis of the measurement value of the absolute pressure sensor. Furthermore, a plurality of different state values such as inclination information of the traveling surface that changes with time transition is input to a Kalman filter, and state values that have already been acquired are updated on the basis of the newly input state values to generate and output the latest state values.

A pressure of a spare tire of a vehicle is determined. Whether the spare tire is installed is determined based at least in part on the pressure. A vehicle subsystem is actuated based at least in part on whether the spare tire is installed.

The present disclosure relates to a vehicle control method, a vehicle control device, and a vehicle control system including same. Specifically, a vehicle control device according to the present disclosure includes: a vehicle travel route estimation unit which estimates a first travel route of a vehicle on the basis of the turn radius and traveled distance of the vehicle, when the speed of the vehicle is equal to or less than a preset speed; a target travel route predicter which confirms a target from periphery detection information about the periphery of the vehicle, and predicts a second travel route of the target; a collision determiner which determines whether there is a possibility of a collision between the vehicle and the target; and a vehicle control unit which controls to perform at least one among an alert control, a brake control, and an avoidance control, when there is a possibility of a collision between the vehicle and the target.

Various applications for use of mass estimations of a vehicle, including to control operation of the vehicle, sharing the mass estimation with other vehicles and/or a Network Operations Center (NOC), organizing vehicles operating in a platoon and/or partially controlling the operation of one or more vehicles operating in a platoon based on the relative mass estimations between the platooning vehicles. When vehicles are operating in a platoon, the relative mass between a lead and a following vehicle may be used to scale torque and/or brake commands generated by the lead vehicle and sent to the following vehicle.

An apparatus and method for controlling articulation of an articulated vehicle may prevent jackknifing of the articulated vehicle driven backwards. The apparatus includes a hitch angle calculator configured to calculate a desired hitch angle based on a steering angle and a speed of the articulated vehicle, an error calculator configured to calculate an error between the desired hitch angle and an actual hitch angle of the articulated vehicle, a moment generator configured to generate a moment for controlling the articulation of the articulated vehicle based on the error, and an articulation controller configured to control the articulation of the articulated vehicle based on the moment.

A collision avoidance system of a vehicle includes a sensor configured to be disposed at a vehicle for sensing exterior and forwardly of the vehicle. A processor is operable to process sensor data captured by the sensor to determine the presence of a pedestrian ahead of the vehicle and at or moving towards a path of travel of the vehicle. The processor determines a time to intersection of projected paths of travel of the vehicle and pedestrian based on a determined distance to the pedestrian and determined speed of the pedestrian and speed of the vehicle. The system adjusts the speed of the vehicle so that the pedestrian will not be in the projected path of travel of the vehicle when the vehicle arrives where the projected path of travel of the vehicle intersects the projected path of travel of the pedestrian.

A method for analyzing the distribution of energy expenditures of a motor vehicle from data from a communications network and from parameters of the vehicle includes steps in which the energy expenditures of the vehicle over a journey are calculated, the said energy expenditures are analyzed by comparing them with at least one model of the vehicle simulating the same journey, an energy balance report is formulated on the basis of the analysis of the energy expenditures and of the fuel consumption and the said energy balance report is communicated to an external server.

Disclosed herein is method and interactive assistance system for providing personalized assistance to a driver or person in an autonomous vehicle. Parameters related to the user and the vehicle are monitored and compared with historical data to determine a deviation in the parameters. An abnormal condition is detected when the deviation is more than an optimal threshold. Further, a personalized interaction is initiated with the user through a selected one of the interactive assistance engine and one or more assistive activities are performed for handling the abnormal condition. In an embodiment, the method of present disclosure enhances both safety and user experience of the user of the autonomous vehicle.

The technology employs a variable motion control envelope that enables an on-board computing system of a self-driving vehicle to estimate future vehicle driving behavior along an upcoming path, in order to maintain a desired amount of control during autonomous driving. Factors including intrinsic vehicle properties, extrinsic environmental influences and road friction information are evaluated. Such factors can be evaluated to derive an available acceleration model, which defines an envelope of maximum longitudinal and lateral accelerations for the vehicle. This model, which may identify dynamically varying acceleration limits that can be affected by road conditions and road configurations, may be used by the on-board control system (e.g., a planner module of the processing system) to control driving operations of the vehicle in an autonomous driving mode.