A traveling support device includes: a comparing unit that compares a detection result based on an output value output from a sensor for detecting a state of a vehicle with a reference value stored in advance; and a controller that, when comparison by the comparing unit determines that the detection result is equal to or more than the reference value, switches a first control mode to a second control mode different from the first control mode with respect to at least one of a display control capable of switching display of information on the vehicle, a vehicle height control capable of switching a vehicle height with a vehicle height adjustment device of the vehicle, and a vehicle speed control capable of switching a speed limit value with a vehicle control device of the vehicle.

The present disclosure is related to enhanced vehicle localization using speed bump detection. In some examples, a vehicle of the present disclosure can estimate its location using GNSS and/or dead reckoning techniques. However, especially in scenarios where GNSS reception is poor, the uncertainty in the vehicle's location can be too large to accurately control the vehicle in a fully- or partially-autonomous driving mode. To reduce uncertainty in the vehicle's location, the vehicle can locate one or more features included in map information received by or stored on the vehicle. In some embodiments, a speed bump is included in the map information. The speed bump can be detected by one or more sensors, such as a motion sensor or one or more suspension level sensors, of the vehicle. The vehicle can determine its location using the detected position of the speed bump and the map information.

A vehicle stability control device has: a front active stabilizer installed on a front wheel side; a rear active stabilizer installed on a rear wheel side; a turning device for turning the front and rear wheels; and a control device configured to perform load distribution control in conjunction with turning control that actuates the turning device, when a difference in braking force between left and right sides of the vehicle exceeds a threshold value during braking. A first side is one of the left and right sides with a greater braking force, and a second side is the other of the left and right sides. In the load distribution control, the control device actuates the rear active stabilizer in a direction to lift up the first side and actuates the front active stabilizer in a direction to lift up the second side.

In one embodiment, a request is received to turn the autonomous driving vehicle (ADV) from a first direction to a second direction. In response to the request, a number of segment masses of a number of segments of the ADV are determined. The segment masses are located on a plurality of predetermined locations within a vehicle platform of the ADV. A location of a mass center for an entire ADV is calculated based on the segment masses of the segments of the ADV, where the mass center represents a center of an entire mass of the entire ADV. A steering control command based on the location of the mass center of the entire ADV for steering control of the ADV.

A dump truck pitching control system that can improve the ride quality of a vehicle body and the drive stability during traveling is provided. The present invention includes: a pitching state amount detection section 194 that detects a state amount of the pitching movement of the vehicle body 10; a spring characteristics calculation section 197 that calculates spring characteristics of suspension cylinders 30, based on detection results of stroke sensors 306, pressure sensors 307, and temperature sensors 308; a pitching target amount calculation section 192 that calculates a target amount of the pitching movement of the vehicle body 10, according to the spring characteristics calculated by the spring characteristics calculation section 197; and a torque correction value calculation section 193 that calculates a torque correction value required to correct the pitching amount, according to the spring characteristics calculated by the spring characteristics calculation section 197.

An automobile cornering rollover prevention system comprises a speed controller, a wheel deflection measuring instrument mounted on a front wheel of the automobile, force sensors mounted on axis positions of four wheels, and an angular speed measuring instrument and a speed controller mounted on the front wheel of the automobile, and the wheel deflection measuring instrument, the angular speed measuring instrument and the force sensor are all electrically connected to the speed controller. The speed controller is connected to a brake system of the automobile, so that the speed can be intelligently reduced through the brake system. When a driver changes .sub.1 according to a road condition, the speed controller may calculate a critical radius in real time and then compare the speed and give a command in real time for controlling the speed, so that the speed is maintained in an ideal range.

A method for operating an onboard network of a hybrid motor vehicle. The onboard network is connected to an energy storage unit, especially a battery; an electric motor of a hybrid drive train, which also has an internal combustion engine; and actuators of an electromechanical chassis system that can be operated as generators. At least one reserve capacity of the energy storage unit is kept open for the supplying of electrical energy generated by at least one portion of the actuators to the onboard network. The reserve capacity being held open is dynamically adapted as a function of at least one item of driver style information describing the driving style of the driver of the hybrid motor vehicle and/or at least one item of situation information describing the current and/or future operation of the hybrid motor vehicle.

A speed control system for a vehicle that: automatically causes the vehicle to operate in accordance with a target speed value, receives information relating to turning of the vehicle, receives information relating to a driving condition of the vehicle, and adjusts automatically the value of the target speed value in dependence on the information.

Methods, apparatuses and computer program products for estimating absolute wheel roll radii and/or a vertical compression value of wheels of a vehicle are disclosed, wherein yaw rates of the vehicle, wheel speeds of first and second wheels, and optionally lateral acceleration of the vehicle are measured and used as a basis for the estimation.

Systems and methods are provided to enhance the driving performance of a leanable vehicle such as a motorcycle. The system includes a leanable vehicle interface to receive input from a driver (e.g., a human or a robotic driver) and a sensor interface to receive inputs from sensors on the leanable vehicle. The system also includes a computing module to use the sensor data in combination with data from the leanable vehicle interface to calculate the driver behavior to produce a future desired performance, based on a specified aggressiveness, so that the performance of the leanable vehicle is optimized. The calculation may be done using a machine learning method, a rule based method, or both.