The purpose of the present invention is to improve the speed of processing related to the presence of objects, while maintaining measurement accuracy of object detection, in an object detection device. This object detection device is provided with: an output unit; a plurality of detection units; a first data generation unit; a second data generation unit; and an information processing unit. The output unit outputs measurement light. The plurality of detection units detect reflected light. The first data generation unit generates first data. The second data generation unit generates second data by extracting, from the first data, a plurality of pieces of second position information, which are pieces of first position information that correspond to representative points expressing the presence ranges of objects. The information processing unit uses the second data to execute information processing related to the presence of the objects.

An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator. The first controller is configured to communicate an actuator control signal based on a primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal deviating from a desired route by a threshold distance, control the actuator to maintain a current actuator setting. The second controller is also configured to, in response to the first predicted vehicle path not deviating from the desired route by the threshold distance, control the actuator according to the actuator control signal.

Method and control unit for predicting a path of a vehicle are provided. The method comprises measuring velocity of the vehicle; measuring steering wheel angle (?.sub.sw); measuring steering wheel angle rate (?.sub.sw); calculating a future steering wheel angle (?.sub.sw), based on the measured steering wheel angle (?.sub.sw) and the measured steering wheel angle rate (?.sub.sw); calculating a future yaw rate (?) of the vehicle based on the measured velocity of the vehicle and the calculated future steering wheel angle (?.sub.sw); extrapolating a vehicle position of the vehicle in a set of future time frames, based on the calculated future yaw rate (?) and the vehicle velocity; and predicting the path of the vehicle based on the extrapolated vehicle positions in the set of future time frames.

System, methods, and other embodiments described herein relate to autonomously controlling a vehicle according to a trajectory plan. In one embodiment, a method includes updating, upon traveling over at least a portion of a current segment of a roadway, the trajectory plan for a subsequent segment of the roadway by setting a fixed portion of the trajectory plan to include: (i) a steering parameter to be fixed for a first duration of time and (ii) a speed parameter to be fixed for a second duration of time. The first duration of time and the second duration of time are of different lengths. The method includes computing input controls for autonomously controlling the vehicle according to the fixed portion of the trajectory plan. The method includes controlling the vehicle according to the input controls over the subsequent segment of the roadway.

A travel control device includes: a risk level calculation unit configured to acquire a speed in a traveling direction of a vehicle, a speed of the vehicle in a horizontal direction perpendicular to the traveling direction, and an azimuth angular velocity of the vehicle and calculate a rollover risk level based on a lateral load transfer ratio (LTR) of the vehicle; a deceleration calculation unit configured to calculate deceleration indicating an extent to which to lower the speed in the traveling direction when an absolute value of the rollover risk level exceeds a threshold value; and a control unit configured to control a driving system of the vehicle using a value obtained by lowering a target speed of the vehicle on the basis of the deceleration as a new target speed.

A vehicle control system includes a first error module that determines a first yaw error based on a difference between a yaw rate of the vehicle and a target yaw rate. A second error module determines a second yaw error based on the first yaw error and a target yaw error. A target yaw error module sets the target yaw error based on a skill level of a driver of the vehicle. An adjustment module selectively one of increases and decreases a target adjustment when the second yaw error is greater than a first predetermined threshold. An actuator control module, in response to the increase in the target adjustment, actuates a dynamics actuator of the vehicle.

Lateral control of a vehicle, based on surroundings sensor signals of a surroundings sensor system of a host vehicle and/or maps, combined with an instantaneous position determination, wherein the course of the instantaneously traveled roadway and the position of the host vehicle on the roadway are determined, based on the surroundings sensor signals and/or the position determination, autonomous steering interventions are made in the host vehicle, which as a result, approximate or correspond to actuations of a steering wheel of the host vehicle, or provide a driver with information concerning steering interventions, a horizon position on the instantaneously traveled roadway to which the host vehicle is to be oriented is repeatedly determined, in that, starting from an instantaneous position of the host motor vehicle, an inner tangent point situated ahead of the host vehicle on the instantaneously traveled roadway is determined, and, starting from a point on the host motor vehicle, a tangent through this inner tangent point to a point of intersection with a horizon point function is determined, and an angle is enclosed between the center longitudinal axis of the host vehicle and the tangent, and is used for determining an angle specification for the steering intervention.

The present invention extends to methods, systems, and computer program products for controlling skidding vehicles. In general, a vehicle adjusts its configuration to mitigate the skidding. The vehicle can recognize dynamic skid situations and apply strategies to avoid an accident. In response to a signal that a vehicle is in a specified type of skid, the vehicle's configuration can be automatically changed to recover from the skid. Different configuration changes can be used to recover from different skid types, including: oversteer, understeer and counter steer. Changing vehicle configuration can include utilizing vehicle systems such as, for example, steering, braking, cruise control, lane keeping, etc.

A method and a system for controlling a vehicle (100) with four-wheel drive are provided. The method includes: acquiring a vehicle condition information parameter by a vehicle condition information collector; obtaining a radius of turning circle to be reduced from a driver by a turning circle receiver (40); obtaining a controlling yaw moment corresponding to the radius of turning circle to be reduced according to the vehicle condition information parameter and the radius of turning circle to be reduced by a turning circle controller (11); and distributing the controlling yaw moment to four wheels (90) of the vehicle (100) according to an intensity level of the radius of turning circle to be reduced and the vehicle condition information parameter by the turning circle controller (11), such that the vehicle (100) turns circle.

Calculating a current target position value for controlling a traction speed of a materials handling vehicle, that includes receiving steering command signals; generating an output value proportional to a rate of change of the steering command signals; determining whether the output value is greater than or equal to a predetermined threshold; determining a raw target position value for controlling the traction speed of the materials handling vehicle; and calculating the current target position value based on: whether the output value is greater than or equal to a predetermined threshold, and whether the raw target position value is less than or equal to a previously calculated target position value for controlling the traction speed.