A stability control system identifies an actionable condition, such as instability, in an off-road mobile machine, based upon an in-rubber tire sensor. A remedial action is identified, and a control signal is generated to control the mobile machine to take the remedial action.

A system for analyzing the environment of a vehicle i) receives a plurality of data from at least one sensor associated with a vehicle, such that the plurality of data includes at least one environmental condition at a location; (ii) analyzes the plurality of data to determine the at least one environmental condition at the location; (iii) determines a condition of a building at the location based upon the at least one environmental condition; (iv) determines an insurance product for the building based upon the determined condition associated with the building; and (v) generates an insurance quote for the insurance product. As a result, the speed and accuracy of insurance providers learning about potential clients and the conditions of the potential client's property and needs is increased.

A method of optimizing fuel economy and reduced noise and vibration levels in a vehicle includes one or more of the following steps: evaluating an engine speed and a speed of the vehicle, determining if the engine speed and the speed of the vehicle produces a noise level that causes a potential customer complaint, monitoring the noise level in the vehicle, calculating the engine operating condition that causes the noise level, determining if the noise level is above a threshold, adjusting an engine torque or a slip condition of a torque converter for optimal vehicle fuel economy if the noise level is at or below the threshold, and, if the noise level is above the threshold, adjusting the engine torque or the slip condition of the torque converter such that the noise level is at or below the threshold.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for real-time determination of the status of autonomous operation features of an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, the operation of the autonomous or semi-autonomous vehicle may be monitored to obtain operating data from one or more autonomous operation features. An operating status of the autonomous features may be determined based upon the operating data. After which, a change in the operating status of the autonomous features may be identified, and a report containing information regarding the change in the operating status of the autonomous features may be generated. Insurance discounts may be provided to risk averse customers that maintain their autonomous vehicles, and associated accident avoidance functionality, in good working condition.

A drive mode switch control device acquires operation information. The drive mode switch control device switches a drive state among at least an autonomous drive state, a manual drive state, and a coordination drive state. The operation detection unit detects a first operation and a second operation based on the operation information when the drive state is not in the manual drive state. The second operation is the drive operation different from the first operation and input after the input of the first operation. The drive mode switch control device switches the drive state from the autonomous drive state to the coordination drive state based on a detection determination of the first operation. The drive mode switch control device switches the drive state from the coordination drive state to the manual drive state based on a detection determination of the first operation.

The present application discloses a driverless vehicle, a driverless vehicle control method and a driverless vehicle control apparatus. The vehicle includes: a steering wheel and a processor. A sensor is provided on the steering wheel. The processor is configured to switch a driving mode of the driverless vehicle to a manual driving mode in response to detecting a sensing signal outputted by the sensor, when the driverless vehicle is in an autonomous driving mode. This implementation achieves smooth switching of the driving mode.

In a method performed by a control unit for controlling energy flows of a vehicle, where the vehicle includes a vehicle energy system which in turn includes a plurality of energy subsystems. Within each energy subsystem one form of energy is used. The energy subsystems are operationally connected by converters, wherein converters are devices converting at least one form of energy to another form of energy. By setting a price, limits for the converters converting energy between the energy subsystem the energy flows of the vehicle can be controlled by the control unit such that at least during period of times the order in which the energy subsystems of the vehicle is provided with energy can be changed.

A method for determining a course of a lane of a vehicle. In this connection, a first marking course of a first marking of the lane and a second marking course of a second marking of the lane are initially recorded. The first marking course and the second marking course are subsequently checked for plausibility. Finally, the lane course is determined on the basis of a previous width of the lane and a plausible marking course in response to at least one marking course proving to be implausible in the checking step.

Systems and methods for determining if a vessel is experiencing a drive-off event, identifying a subsystem causing the drive-off event, and controlling a vessel to correct the drive-off event are disclosed. The determining may include processing, with a processor of the dynamic positioning control system, a modeled vessel motion and a measured vessel motion to determine whether there is a discrepancy between the modeled vessel motion and the measured vessel motion. The dynamic positioning (DP) control system may then take action to control vessel motion based, at least in part, on the processing of the modeled vessel motion and the measured vessel motion.

A system includes an acquisition unit that acquires an operation amount or a duration count, and a switching unit that switches a driving state. The switching unit switches the driving state to the cooperative driving state when the operation amount is equal to or greater than an intervention threshold and less than a start threshold or the duration count is equal to or greater than a first threshold and less than a second threshold during the autonomous driving state, switches the driving state to the autonomous driving state when the operation amount is less than the intervention threshold or the duration count is less than the first threshold during the cooperative driving state, and switches the driving state to the manual driving state when the operation amount is equal to or greater than the start threshold or the duration count is equal to or greater than the second threshold.