An obstruction sensing system for an autonomous device can include a chassis including a drive system for movement relative to a working surface, a shell resiliently mounted to the chassis and movable relative to the chassis in response to a force applied to the shell, a sensor assembly comprising a single sensor disposed on the chassis and a magnet disposed on and movable with the shell in response to the force applied to the shell, wherein the sensor is configured to output a three-axis magnetic flux vector in response to a movement of the magnet. A sensing method for an autonomous device can include detecting a polarity change in the sensor and in response determining that an obstruction has been detected, evaluating, by a processing component, a three-axis magnetic flux vector, and calculating at least one of a direction and a magnitude of a deflection based on the evaluation.

A drive and control system for a lawn tractor includes a CAN-Bus network, a plurality of controllers, a pair of electric transaxles controlled by the plurality of controllers, and one or more steering and drive input devices coupled to respective sensor(s) for sensing user steering and drive inputs. The plurality of controllers communicate with one or more vehicle sensors via the CAN-Bus network. The plurality of controllers receive the user's steering and drive inputs and posts on the CAN-Bus network and generate drive signals to obtain the desired speed and direction of motion of the lawn tractor.

Method and system that includes receiving data about (1) a driver's expected vehicle performance and (2) a difference between the driver's expected vehicle performance and an estimated actual vehicle performance, and based on the received data determining control signals for an electric drivetrain system to effect the driver's expected vehicle performance. A vehicle control system that incorporates one or machine learning functions to control a drivetrain that is decoupled from a driver.

A vehicular orientation detection system (1) for detecting an orientation of a vehicle (5) traveling a road surface (100S) where magnetic markers (10) are laid includes sensor units (11) which each include a plurality of magnetic sensors arrayed in a vehicle width direction and measure a lateral shift amount with respect to the magnetic markers (10) and a control unit (12) which computes a difference between lateral shift amounts measured with any one of the magnetic markers (10) by front and rear sensor units (11) positioned at two locations separated in a longitudinal direction of the vehicle (5).

The present subject matter especially relates to a traveling control apparatus, a corresponding traveling control method, an own vehicle including the traveling control apparatus, and a computer program product which is adapted to carry out the traveling control method. The control allows keeping an object, which is located on or close to the driving path/route of the own vehicle, continuously within the field of view of a sensor, a camera or the like which is installed at the own vehicle. This improves the reliability of the traveling control of the own vehicle and the driver can enjoy higher driving comfort and safety.

A method for generating a magnetic field, a method for detecting a lane by using a magnetic field, and a vehicle using same are disclosed. According to the present invention, magnetic fields outputted from lanes coated with road-marking paint containing magnetic particles are detected with a magnetic sensor attached to a vehicle, and a plurality of lanes can be detected on the basis of the detected magnetic fields.

Provided is a driving assistance system capable of providing more pieces of information to a vehicle side by using magnetic markers. A driving assistance system (1A) is a system including magnetic markers (1) laid on a travelling road so as to be magnetically detectable and also be able to provide code information to a vehicle side, a vehicle (5) configured to be able to magnetically detect the magnetic markers (1) and also read the code information, and a base station (6) configured to make a reply with corresponding information when receiving the code information from the vehicle (5) reading the code information.

A driver support system of a vehicle that includes a neuroimaging sensor and a positioning sensor, the neuroimaging sensor detects neurological signals of an occupant and the positioning sensor detects a position of the occupant. The neuroimaging sensor is configured to be positioned within the vehicle distally from the occupant. The system further includes a processor and non-transitory computer-readable medium storing computer-readable instructions executed by the processor to generate a brainwave map based on the neurological signals, calibrate the brainwave map based on the position of the occupant, and determine a mental state of the occupant based on the calibrated-brainwave map. The processor further actuates vehicle support control in response to determining the mental state of the occupant.

A magnetic torque sensing device having a torque transferring member with a magnetoelastically active region. The magnetoelastically active region has oppositely polarized magnetically conditioned regions with initial directions of magnetization that are perpendicular to the sensitive directions of magnetic field sensor pairs placed proximate to the magnetically active region. Magnetic field sensors are specially positioned in relation to the torque-transferring member to accurately measure torque while providing improved RSU performance and reducing the detrimental effects of compassing. The torque sensing devices are incorporated on vehicle drive train components, including differential components, transfer case components, transmission components, and others, including on power transmission shafts, half-shafts, and wheels, and output signals representing characteristics of the vehicle are processed in algorithms to provide useful output information for controlling actions of the vehicle.

A power takeoff control system and method sense proximity of an operator to a power takeoff and control operation of the power takeoff based upon the sensed proximity.