A method of estimating an operating parameter of industrial mechanical power transmission equipment is provided. The method includes acquiring data of a first parameter of the gearbox using a sensor, inferring a second parameter of a gearbox based on the acquired data of the first parameter by using a machine learning model, wherein the second parameter is of a different type from the first parameter and includes at least one of a torque of the gearbox, a rotational speed of the gearbox, or an overhung shaft force of the gearbox, and outputting the estimated second parameter.

A novel roof-top autonomous vehicle control system for converting a non-autonomous vehicle into an autonomous vehicle includes a weatherproof housing that removably attaches to the roof of a host vehicle. The housing supports modular attachment of various sensors, receivers, computers, and other electrical components that can be installed, removed, and/or interchanged without disrupting the initial calibration thereof. In a particular embodiment, various internal electrical components of the system are mounted on a tray which can be mounted in, and removed from, the housing without disrupting the initial calibration of the various sensors. In a more particular embodiment, the housing includes a plurality of removable panels and windows that provide access to the inside of the housing.

A vehicular device is disclosed, including a processor and plurality of sensors. The processor receives sensor data and determines vehicle occupant respiration based on the sensor data. The sensors can include acoustic sensors and imaging sensors. The processor can be configured for executing a machine learning algorithm to determine the occupant respiration.

A method of developing a road conditioning monitoring model is disclosed. The method comprises utilizing vehicle sensors to collect data under controlled conditions over a road surface to develop a training data set. The training data set undergoes a data analysis to determine an absolute running mean associated with the first road surface under controlled conditions. Abnormalities in the road surface are detected by comparing the absolute running mean with the training data set. The detected abnormalities are classified to create road surface classification rules. A method of developing a road condition database is also disclosed, that comprises utilizing vehicle sensors during operation of a vehicle to collect data during the operation and feeding the data into the road conditioning monitoring model to classify the road conditions on which the vehicle is driven. A system for determining road condition impact on a vehicle is also disclosed.

Redundant vehicle controls based on user presence and position are disclosed herein. A method can include determining a presence and a position of a driver in a sensing zone of a vehicle using a sensor platform integrated into the vehicle. The sensing zone is associated with a primary driving interface of the vehicle. Determining when the position of the driver indicates that the driver is not in a fully-seated position relative to a driver's seat of the vehicle, and that the vehicle is in a non-seated drive mode where the driver is permitted to operate the vehicle while not being in the fully-seated position. Activating a secondary driving interface of the vehicle when the driver is not in a fully-seated position and the vehicle is in the selected driving mode. The secondary driving interface can be used in combination with the primary driving interface.

A battery control system for a battery electric vehicle is configured to detect that a driver door of the vehicle has been opened and connect the battery system to an electrical system of the vehicle to power at least a cabin heater and defroster of the vehicle, detect a driver start request, determine whether a set of battery parameters satisfy a threshold indicative of the battery system being sufficiently conditioned for driving of the vehicle, and when the set of battery parameters satisfy the threshold, display, via the user interface, a first message indicating that the vehicle is ready to drive and allow the driver to drive the vehicle and driving is prevented.

Methods, systems, and apparatus for controlling operation of a vehicle. The system includes a microphone located in a passenger cabin of the vehicle and configured to detect sound data indicating noise in the passenger cabin. The system also includes a powertrain of the vehicle including an engine/motor for propelling the vehicle and a transmission of the vehicle having a plurality of gears. The system also includes an electronic control unit (ECU) of the vehicle coupled to the microphone and the transmission. The ECU is configured to determine a powertrain torque limit based on the sound data, determine whether a torque output of the powertrain exceeds the powertrain torque limit, and instruct the transmission to downshift when the torque output of the powertrain exceeds the powertrain torque limit.

Vehicle cabin monitoring using a radar unit centrally positioned within the cabin to obtain image data of the vehicle cabin and a processor to generate detect occupancy of seats within the vehicle cabin, categorize occupants, detect posture, determine seatbelt status and monitor life signs of the occupants. An output unit may execute responses appropriate to the status of occupants of the vehicle cabin.

A utility vehicle includes: a travel structure including a front wheel, a rear wheel, a steering structure mounted to the front wheel, and a drive source that drives the front wheel and/or the rear wheel; at least one operator used to operate the travel structure; circuitry that controls the travel structure; and a mode switcher that switches the utility vehicle between a manned operation mode in which the utility vehicle travels in response to operations on the operator and an autonomous travel mode in which the circuitry allows the utility vehicle to autonomously travel on a given travel route without any operations on the operator.

A vehicle control system includes: an automated driving controller executing automated driving that automatically performs at least one of speed control and steering control of a vehicle to allow the vehicle to travel to a set destination; a calculator which, referring to a plan of the automated driving, calculates an amount of energy expected to be consumed if the vehicle travels the guiding route from the current position of the vehicle to the destination by the automated driving; and a route changing section which changes the guiding route based on the amount of energy calculated by the calculator.