Disclosed is a method for monitoring vehicle overload based on gravity anomaly, which includes the following steps of: setting a plurality of measuring positions on a single lane, arranging a gravimeter to acquire gravity anomaly values caused by a vehicle when the middle position along the length direction of the vehicle reaching each measuring position, using a monitoring camera to judge the category of the vehicle, acquire three geometric dimensions of the vehicle, and determine the position of the vehicle. The vehicle is simplified as a cuboid, and the mass density distribution is simplified as a piecewise constant function along the length direction of the vehicle. Calculating values of the piecewise constant function according to the gravity anomaly values, calculating a total weight of the vehicle according to the mass density distribution, comparing the total weight with the weight limit of the vehicle to judge whether the vehicle is overloaded.

(FIG. 1)

The invention relates to an autonomous driving control method, an autonomous driving control system, and a vehicle. The autonomous driving control method includes: estimating motion control capacities of a vehicle on the basis of performance parameters and/or structure parameters of the vehicle; grading autonomous driving functions of the vehicle on the basis of the motion control capacities; and providing the graded autonomous driving functions on the basis of a state of the vehicle. The autonomous driving control method of the invention can provide different grades of autonomous driving functions in different vehicle states, thereby improving driving experience.

The invention relates to a method for checking whether the usage of a rolling chassis, which is comprised by a motor vehicle and on which a vehicle body is arranged, is permissible, comprising the following steps: receiving first specification signals representing a first specification of the rolling chassis, wherein the first specification comprises permissible usage information of the rolling chassis in a motor vehicle; receiving motor vehicle status signals representing a motor vehicle status; checking, based on the first specification and the motor vehicle status, whether the rolling chassis is being used according to the permissible usage information; generating result signals representing a result of this check; and outputting the generated result signals. The invention also relates to a device, a computer program, a machine-readable storage medium, a rolling chassis, a vehicle body and a motor vehicle.

An apparatus that detects a tilt, lean, movement and/or rotation and/or change in tilt, lean, position and/or rotation of a user, rider, and/or payload which may use sensors configured to accomplish this detection, where sensors may be on, embedded in and/or attached to a structural device, strap, and/or surface of a vehicle, structure or system, where an apparatus of the present invention may be on, part of, in, attached to or connected to a vehicle, structure or system where detecting, measuring and/or determining a lean, tilt, movement and/or rotation or change thereof, of a user, rider, and/or payload, may be desirable; position or movement and/or center of mass or change thereof may be calculated, or detected; calculations, measurements, metrics or detections from the present invention may be an output or the only output of an apparatus that is an embodiment of the present invention.

A computer implemented method for determining optimal values for operational parameters for a model predictive controller for controlling a vehicle, can receive from a data store or a graphical user interface, ranges for one or more external parameters. The computer implemented method can determine optimum values for external parameters of the vehicle by simulating a vehicle operation across the ranges of the one or more operational parameters by solving a vehicle control problem and determining an output of the vehicle control problem based on a result for the simulated vehicle operation. A vehicle can include a processing component configured to adjust a control input for an actuator of the vehicle according to a control algorithm and based on the optimum values of the vehicle parameter as determined by the computer implemented method.

Provided are a vehicle obstacle-avoidance method, an apparatus, and a vehicle. The method includes: acquiring obstacle information, in a case that an obstacle is detected; determining whether the obstacle is a straight-going obstacle in a planned route, according to the planned route and the obstacle information; acquiring a center-of-gravity position of a vehicle, a safe stopping distance and a vehicle current speed, in a case that the obstacle is determined as the straight-going obstacle in the planned route; determining a maximum acceleration of the vehicle, according to the center-of-gravity position; and determining a straight-going obstacle-avoidance strategy, according to the obstacle information, the maximum acceleration, the safe stopping distance and the vehicle current speed. In the present application, current actions as well as load conditions of the vehicle are considered to determine the obstacle-avoidance strategy, thereby improving safety of the vehicle while ensuring execution of obstacle-avoidance.

Force-detecting sensors are installed in a motorcycle's handlebars, footpegs and seat to detect the rider's grip, weight and weight distribution. A control unit interprets the signals from the sensors to determine an attribute of the rider or an intention of the rider to make a manoeuvre. Signals from environmental sensors are used by the control unit to determine whether the intended manoeuvre would endanger the rider, and, if so, the rider is alerted before the manoeuvre is undertaken. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, of as little as a fraction of a second, a rider is given extra time to avert a potential accident. The control unit also controls settings of the motorcycle during a hazardous state of the motorcycle.

The present invention achieves a technique that not only makes it possible to reduce sensor-related cost but also makes it possible to estimate a ground contact load of a vehicle with sufficiently high accuracy. A ground contact load estimation device (100) causes an acquisition section to acquire a physical quantity related to a vehicle, causes a reference inertia load calculation section (111) to calculate a reference inertia load with use of the physical quantity, uses the physical quantity to cause a correction value calculation section (112) to calculate an inertia load correction value, and causes an inertia load estimation section (110) to estimate an inertia load by adding the inertia load correction value to the reference inertia load.

A delivery system includes an autonomously-moving-type delivery vehicle configured to deliver an article to a delivery destination thereof, and a transportation vehicle configured to carry and transport the delivery vehicle. A control unit configured to control an operation of the delivery vehicle acquires information about an acceleration of the transportation vehicle from the transportation vehicle, and controls the operation of the delivery vehicle based on the information about the acceleration so that a displacement that is predicted to occur in the delivery vehicle due to the acceleration of the transportation vehicle is reduced.

Force-detecting sensors are installed in a motorcycle's handlebars, footpegs and seat to detect the rider's grip, weight and weight distribution. A control unit interprets the signals from the sensors to determine an attribute of the rider or an intention of the rider to make a manoeuvre. Signals from environmental sensors are used by the control unit to determine whether the intended manoeuvre would endanger the rider, and, if so, the rider is alerted before the manoeuvre is undertaken. The alert is provided before the rider notices the hazard, or before the rider reacts to the hazard. By giving advance warning, of as little as a fraction of a second, a rider is given extra time to avert a potential accident. The control unit also controls settings of the motorcycle during a hazardous state of the motorcycle.