An object detection system for a saddle-type vehicle is provided. The system comprises an object detection unit configured to detect an object, wherein the object detection unit is provided on a handlebar which is rotatable to a body of the vehicle; an inclination detection unit configured to detect an inclination of a saddle-type vehicle; a steering angle detection unit configured to detect a steering angle of the handlebar to the body; and a position specification unit configure to specify a position of the object detected by the object detection unit, and correcting the position so that the inclination detected by the inclination detection unit is upright and the steering angle of the handlebar detected by the steering angle detection unit is directed straight.

A mobility device that can accommodate speed sensitive steering, adaptive speed control, a wide weight range of users, an abrupt change in weight, traction control, active stabilization that can affect the acceleration range of the mobility device and minimize back falls, and enhanced redundancy that can affect the reliability and safety of the mobility device.

An autonomous vehicle configured for active sensing may also be configured to weigh expected information gains from active-sensing actions against risk costs associated with the active-sensing actions. An example method involves: (a) receiving information from one or more sensors of an autonomous vehicle, (b) determining a risk-cost framework that indicates risk costs across a range of degrees to which an active-sensing action can be performed, wherein the active-sensing action comprises an action that is performable by the autonomous vehicle to potentially improve the information upon which at least one of the control processes for the autonomous vehicle is based, (c) determining an information-improvement expectation framework across the range of degrees to which the active-sensing action can be performed, and (d) applying the risk-cost framework and the information-improvement expectation framework to determine a degree to which the active-sensing action should be performed.

A rollover alarming system, a rollover risk prediction method, and a rollover alarming method. An axle housing strain measurement unit measures strain values on both sides of an axle housing of a vehicle body. A roll angle measurement unit measures a roll angle of the vehicle body. A collection control unit is configured to collect the strain values on both sides of the axle housing of the vehicle body and the roll angle of the vehicle body, calculate a strain difference between the strain values according to the strain values on both sides of the axle housing of the vehicle body, and output a corresponding alarm control signal according to the strain difference between both sides of the axle housing of the vehicle body and the roll angle of the vehicle body. An alarm unit is configured to output a corresponding alarm signal according to the received alarm control signal.

Motorcycles can become unstable when operating at high speeds and at high cornering levels. For example, they can exhibit an oscillation at the rear wheel commonly known as “weave.” A system and method is provided which utilizes a high-fidelity computer simulation model of a 2- or 3-wheel motorcycle to predict operating states such as yaw rate, lateral acceleration and roll angle for a stable motorcycle at a given speed and steer angle. The operating state of a physical motorcycle can be measured and compared to that of the model at every instant in time to determine if the operating state of the physical motorcycle differs from that of the simulation model in such a way as to indicate loss of stability. The nature of that difference can then be used to intervene in the operation of the motorcycle independent of driver actions by application of brakes, modulating the engine torque or applying torques to urge the steering system in a corrective direction. Thus by comparing the physical response of the motorcycle to that of the computer model in an on-board controller these interventions can be applied at a time and intensity to stabilize the motorcycle and prevent a loss of control.

A system and method for a real-time prognosis of a vehicle comprising a personal communication device comprising an arbitrarily oriented three-axis accelerometer configured to capture a pitch motion and/or roll motion of the vehicle and an onboard diagnostics system communicably connected with the personal communication device enabling bi-directional communication. The personal communication device comprising a processor configured for geometric mapping of a three dimensional Cartesian coordinate of the three-axis accelerometer with the vehicle. The processor virtually orients the coordinates of three-axis accelerometer to coincide with the coordinates of the vehicle. The arbitrarily oriented three-axis accelerometer is configured to capture a road condition and a driver behavior using a sampling rate between 4 Hertz (Hz) to 10 Hertz (Hz). The system for the real-time prognosis of the vehicle, wherein the real-time prognosis utilizes at least one predictive analysis model to determine real-time prognosis for the said vehicle.

A drive and control system is disclosed for use on a zero turn vehicle having a pair of drive motors, an operator drive input capable of providing a drive signal corresponding to a desired drive status by an operator and an operator steering input capable of providing a steering signal corresponding to a desired steering of the vehicle. Sensors on the vehicle generate signals corresponding to roll, pitch and yaw. A stability control module includes a processor receiving the steering and drive inputs and provides output signals to the drive motors. Upon initialization of the vehicle, the processor determines initial orientation parameters from the sensors and determines if the input and steering are in neutral. When the drive input is not in neutral, and the steering is in neutral, the processor determines desired pitch, yaw and roll parameters. The processor receives additional sensor signals during operation to monitor pitch and roll of the vehicle and if a measured parameter exceeds the desired parameter, the processor will vary the output signals to the drive motors to provide a heading correction to the vehicle.

The invention regards a method, a system and a vehicle for analyzing a rider performance. The vehicle is any vehicle that employs a roll angle change for changing its driving direction. Firstly, physical motion parameters of the vehicle in motion are sensed and the measured data is supplied to computing unit. In the computing unit, segments in a time series of measured data are determined by processing the measured data in the computing unit. Each segment corresponds to a rider control behavior and the plurality of such consecutive rider control behavior build a riding maneuver. In the computing unit, the measured data within one segment for at least one of the segments is analyzed by computing at least one characteristic value for the respective segment and/or the sequence of determined segments is analyzed. Finally, an analysis result indicating the rider performance or rider skills is output.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

There is provided a two-wheeled vehicle overturn prevention method, wherein maximum allowable lean angles corresponding to vehicle body velocities are preset in relation to lean angles of a vehicle body, and in a case where an actual lean angle of the vehicle body exceeds a maximum allowable lean angle corresponding to an actual vehicle body velocity of the vehicle body or in a case where an estimated lean angle of the vehicle body after a predetermined amount of time exceeds or looks to exceed a maximum allowable lean angle corresponding to an estimated vehicle body velocity, the two-wheeled vehicle overturn prevention method is adapted to accelerate the vehicle body or keep the vehicle body from decelerating.