B60R2021/01327

Smart surface for detecting collision forces
10926727 · 2021-02-23 ·

One example method of operation may include identifying a vehicle collision event via one or more sensors disposed in one or more sensor circuits affixed to a vehicle body of a vehicle via one or more multi-layered removable stickers, responsive to identifying the vehicle collision event, identifying vehicle collision event data including a geolocation of the vehicle and a timestamp of the vehicle collision event, and storing, in a wirelessly accessible memory of the one or more sensor circuits, the vehicle collision event data received during the vehicle collision event.

Vehicle drive and control system

A drive and control system for a lawn tractor includes a CAN-Bus network, a vehicle controller, a pair of hydrostatic or electric transaxles controlled by respective electronic drive controllers, and one or more steering and drive input devices coupled to respective sensor(s) for sensing user steering and drive inputs. The vehicle controller communicates with one or more vehicle sensors and one or more vehicle controllers that control one or more vehicle components via the CAN-Bus network. The vehicle controller processes the user's steering and drive inputs and posts on the CAN-Bus network digital drive signals configured to obtain the desired speed and direction of motion of the lawn tractor. The electronic drive controllers convert the digital drive signals to appropriate signals for driving the hydrostatic transaxles or the electric transaxles, as equipped, based on tunable motion parameters to obtain the desired speed and direction of motion of the lawn tractor.

Vehicle drive and control system

A drive and control system for a lawn tractor includes a CAN-Bus network, a vehicle controller, a pair of hydrostatic or electric transaxles controlled by respective electronic drive controllers, and one or more steering and drive input devices coupled to respective sensor(s) for sensing user steering and drive inputs. The vehicle controller communicates with one or more vehicle sensors and one or more vehicle controllers that control one or more vehicle components via the CAN-Bus network. The vehicle controller processes the user's steering and drive inputs and posts on the CAN-Bus network digital drive signals configured to obtain the desired speed and direction of motion of the lawn tractor. The electronic drive controllers convert the digital drive signals to appropriate signals for driving the hydrostatic transaxles or the electric transaxles, as equipped, based on tunable motion parameters to obtain the desired speed and direction of motion of the lawn tractor.

Collision detection sensor
10899300 · 2021-01-26 · ·

A collision detection sensor includes a sensor module which includes a first surface and a second surface facing each other. The first surface includes an acceleration detection element detecting a vehicle acceleration in one direction parallel thereto, and the second surface is formed with a first land and a second land. Among four corners of the second surface, one corner in a first pair of opposing corners is provided with the first land, and the other corner in the first pair of opposing corners is provided with the second land.

SAFETY SYSTEM INITIATOR WITH ELECTRONICALLY ADJUSTABLE FIRE TIME
20200384935 · 2020-12-10 ·

In a triggering system for activating a safety device, an acceleration sensor outputs a signal for a time duration in which an acceleration impulse exceeds an acceleration magnitude threshold. A first switching device receives the signal output by the acceleration sensor, and electrically connects a power supply to at least one safety response device for the time duration. A time delay device, upon completion of a delay time after receiving the signal output by the acceleration sensor, outputs a signal for the time duration. A second switching device receives the signal output by the time delay device, and electrically connects the power supply to the at least one safety response device for the time duration. When the time duration exceeds the delay time, the first switching device and the second switching device concurrently electrically connect the safety response device to the power supply, activating the safety response device.

ITERATIVE ESTIMATION OF NON-HOLONOMIC CONSTRAINTS IN AN INERTIAL NAVIGATION SYSTEM
20200340814 · 2020-10-29 ·

A device implementing a system for estimating device location includes at least one processor configured to receive a first and second set of signals, each set corresponding to location data and being received based on a sampling interval. The at least one processor is configured to, for each sampling period defined by the sampling interval, obtain sensor data corresponding to device motion during the sampling period, determine an orientation of the device relative to that of the vehicle based on the sensor data, calculate a non-holonomic constraint based on the orientation of the device relative to that of the vehicle such that the non-holonomic constraint is iteratively updated, and estimate a device state based on the non-holonomic constraint.

STRADDLE-TYPE VEHICLE INFORMATION PROCESSOR AND STRADDLE-TYPE VEHICLE INFORMATION PROCESSING METHOD
20200307482 · 2020-10-01 ·

To obtain a straddle-type vehicle information processor and a straddle-type vehicle information processing method capable of recognizing that a straddle-type vehicle has crashed during travel with a high degree of accuracy at appropriate timing to contribute to improvement in occupant safety.

A straddle-type vehicle information processor 10 includes: a travel state information acquisition section 11 that acquires, as information related to a travel state of a straddle-type vehicle 1, a physical quantity set that is configured to include at least two types of physical quantities; a crash recognition section 12 that acquires a Mahalanobis distance with respect to a referred sample group of the physical quantity set and determines whether the crash has occurred on the basis of a relationship between the Mahalanobis distance and a reference value; and an output section 13 that makes output corresponding to the recognition of the crash by the crash recognition section 12.

Method for operating a motorized two-wheeled vehicle, in particular a motorcycle, and computer program for carrying out the method
10780855 · 2020-09-22 · ·

A method and computer program are provided for operating a motorized two-wheeled vehicle, in particular a motorcycle that includes a sensor system for accident recognition that generates measuring signals. The sensor system is used for recognizing a rotation of a front wheel of the two-wheeled vehicle that deviates from a normal steering movement and allows an inference concerning a collision of the two-wheeled vehicle with another object. Moreover, the invention relates to a computer program for carrying out the method.

ROLLOVER PROTECTION FOR A VEHICLE
20200282937 · 2020-09-10 ·

A protection system for a motor vehicle having a sensor for determining an angle of inclination of the motor vehicle about its longitudinal axis. An airbag attached on an outside of the motor vehicle. A processing device designed to detect a risk that the motor vehicle may tip over, on the basis of the inclination angle determined, and in that case activates the airbag. The airbag can be pivoted in the vertical direction from an area close to the ground.

Sensor-connected passenger detection method and passenger occupancy detection system

A passenger occupancy detection system is provided that implements a sensor-connected passenger detection method. The system includes that a sensor controller that reads a sensor value using an ESC as an acceleration sensor when a vehicle is stopped and distinguishes an in-vehicle passenger with a vehicle acceleration change by the sensor value. The operations of a rear-seat passenger notification system 200 and a passenger-seat occupant classification advanced airbag system 300 are connected by the distinguishing the in-vehicle passenger, enhancing the sensor reliability by providing Fail-Safe together with increasing the accuracy of the passenger detection utilizing longitudinal/lateral accelerations/yaw rate information.