To obtain a rider-assistance system capable of providing a rider of a straddle-type vehicle with a sense of comfort and safety during a turn, and a control method for such a rider-assistance system.

The present invention provides the rider-assistance system that assists with driving by the rider of the straddle-type vehicle and includes a controller. The controller includes: an object identification section that identifies an object approaching a side of the straddle-type vehicle on the basis of output of a communication device that wirelessly receives information output from infrastructure equipment or another vehicle; a body position information acquisition section that acquires position information of at least a part of a body of the rider on the turning straddle-type vehicle; a collision possibility determination section that determines a collision possibility of the rider with the object identified by the object identification section on the basis of the position information acquired by the body position information acquisition section; and a safety operation performing section that causes the rider-assistance system to perform safety operation in the case where the collision possibility determination section determines that the collision possibility is high.

A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

A yaw rate estimation system for a vehicle includes a camera, a yaw rate sensor, wheel sensors, an accelerometer and a steering sensor. A control includes a processor that estimates the actual yaw rate of the vehicle by processing (i) a first yaw rate derived from yaw rate data provided by the yaw rate sensor, (ii) a second yaw rate derived from wheel sensor data provided by the wheel sensors, (iii) a third yaw rate derived from acceleration data provided by the accelerometer, and (iv) a fourth yaw rate derived from steering data provided by the steering sensor. The vehicular control system utilizes (i) image data captured by the camera as the vehicle is being driven along a road and (ii) the estimated actual yaw rate of the vehicle as the vehicle is being driven along the road.

A control system for a work vehicle includes an acceleration detection device and a controller. The acceleration detection device detects an acceleration of the work vehicle. The controller determines whether the acceleration is greater than a first threshold and reduces the a vehicle speed when the acceleration continues to be equal to or greater than the first threshold over a predetermined first determination time period.

Driving support ECU outputs an instruction to retract a seatbelt to a seatbelt retracting ECU when a driver of a vehicle is determined to be in an abnormal state where the driver loses an ability to drive the vehicle. Thereby, an upper body of the driver in a weak state is pulled strongly toward a backrest side of a seat. As a result, the driver's upper body is prevented from falling and covering a steering wheel, and LKA (traffic lane keeping control) can be performed properly. The driving support ECU decelerates the vehicle at a target deceleration a to stop the vehicle after outputting the instruction to retract the seatbelt.

A method for monitoring a drive-by-wire system of a motor vehicle, including: temporally offset reading in of at least two input values of an input quantity of an operating element of the motor vehicle; ascertaining a change over time or rate of change over time of the input quantity from the at least two read-in input values; determination of a monitored quantity for the motor vehicle operation from the change over time or rate of change over time; selection of a monitoring function on the basis of the monitored quantity; monitoring of the monitored quantity for the ascertained motor vehicle operation by the monitoring function.

An electric power steering device includes: a steering torque sensor that detects a steering torque; a current command value calculation unit that calculates a current command value based on the steering torque; an electric motor that generates a steering assist torque; a motor control unit that controls and drives the electric motor based on the current command value; a navigation controller and a GPS receiver that detects position information of a vehicle; and an operation assist unit that stores, in a map database, the steering torque detected by the steering torque sensor and the position information of the vehicle upon detection of the steering torque in association with each other and executes operation assist processing for assisting the driver in operating the steering wheel based on a past steering torque corresponding to current position information.

Control system and method which is adapted for use in a motor vehicle and intended to effect an at least semi-autonomous driving operation of the motor vehicle by means of assigned actuators on the basis of environmental data which are obtained from one or more environment sensors assigned to the motor vehicle, and wherein the control system is adapted and intended to detect a failure of a conventional steering system of the motor vehicle and attempt a change of direction of the vehicle, which corresponds to a desired steering angle, from current driving parameters by means of matched acceleration and/or deceleration interventions at individual wheel drives or wheel brakes, respectively, of the vehicle.

In a drive assist system, a map data acquiring section acquires at least one of a driver's operation ability and a load of a vehicle. An adjustment section determines an assist control amount as a control parameter of drive assist for the vehicle so that a degree of the driver's operation is increased according to reduction of the driver's operation ability or increasing of the load of the vehicle. An assist control amount calculation section transmits the assist control amount to a steering motor and a notification section so as to execute the drive assist for the vehicle.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.