Provided is a vehicle control device configured to: generate a target trajectory of a vehicle; and determine whether change in speed of a target steering angle in a first period is equal to or larger than a first threshold value and whether change in speed of the target steering angle in a second period is equal to or larger than a second threshold value; and change, in a case where the driving mode of the vehicle is a second driving mode, the driving mode of the vehicle to a first driving mode when the change in speed of the target steering angle in the first period is determined to be equal to or larger than the first threshold value or when the change in speed of the target steering angle in the second period is determined to be equal to or larger than the second threshold value.

A system and method is provided for detecting the approach of official and emergency vehicles and alerting drivers. The system is comprised of a vehicle device, a client device, a local device and a dongle. The local device includes a set of acoustic sensors and a set of light wave sensors. The local device is connected to the dongle. The dongle is connected to the local device, the vehicle device and the client device. In use, the sensors record analog light wave and acoustic signals. The signals are processed through a series of rolling frequency and amplitude summary tables to determine the type of emergency vehicle and whether or not it is approaching. If so, an alert is generated and sent to the vehicle device and the client device where it is displayed.

A method is described and includes subsequent to an autonomous vehicle becoming immobilized, initiating a local assistance request; subsequent to the initiating, receiving local assistance input from a passenger of the autonomous vehicle; and using the local assistance input to determine an action to be taken by the autonomous vehicle to mobilize the autonomous vehicle.

The invention concerns a method and a system for recognizing the presence of any irregularities of any road pavement.

A vehicle configured to perform collision avoidance control includes a steering device, a brake device, an output device, and a controller. When there is a risk of collision between the vehicle and an external object, the controller determines a dangerous state and a collision risk level according to signals received from an operating device being operated by a driver, determines a collision avoidance method, a collision avoidance time point, and a control amount for collision avoidance, based on at least one of the dangerous state and the collision risk level, and controls at least one of the steering device, the brake device, and the output device such that the vehicle performs collision avoidance control, based on the collision avoidance method, the collision avoidance time point, and the control amount for the collision avoidance.

A vehicle computer system (e.g., on-board vehicle computer system) obtains a fuel economy performance goal for a vehicle (e.g., an engine speed goal or a vehicle speed goal) that is based on a configuration of the vehicle; calculates a count of events in which a current value exceeds the goal; compares the count of events with a threshold count; and generates one or more notifications based at least in part on the comparison (e.g., for display on an operator interface). The vehicle computer system also calculates an engine speed and a vehicle speed score for a driver of the vehicle based at least in part on comparisons of current speeds with the speed goals. Scoring and other data may be displayed or stored for further processing.

Methods, apparatuses, and computer-readable media are described. In one example, a method of controlling a vehicle comprises: receiving, using one or more sensors, a first set of measurements of a set of physical attributes of the vehicle in a motion; determining, based on a motion data model that defines a set of relationships among the set of physical attributes of the vehicle in the motion and based on the first set of measurements, a set of expected measurements of the set of physical attributes; determining whether to use an entirety of the first set of measurements to control an operation of the vehicle based on comparing the first set of measurements and the set of expected measurements; and responsive to determining not to use the entirety of the first set of measurements, controlling the operation of the vehicle based on a second set of measurements.

A driver's hands on/off detection system for detecting whether a driver's hands are on/off a steering wheel during driving is applied to a vehicle. When a driving assistance system is operated by a controller during driving, the driver's hands on/off detection system calculates an electronic motor driven power steering system (MDPS) torque representative value and a vehicle measurement data representative value as a representative value ratio between sensors, and divides a disturbance driving area and a normal driving area by a magnitude of the representative value ratio between sensors to perform sensor detection correction control of a hands on/off check using a disturbance torque threshold to the torque filtering value or torque-based sensing control of a hands on/off check using an upper/lower torque limit value to the torque filtering value, thereby reducing the hands on/off detection errors during driving with only a vehicle-mounted sensor without using a capacitive sensor.

A motion prediction method of other vehicle computes, based on a behavior of a second vehicle running in an adjacent lane, a lane change probability indicating a probability of the second vehicle conducting a lane change in front of an own vehicle from the adjacent lane into an own lane in which the own vehicle is running and, with use of the lane change probability and a threshold value, predicts the lane change to be conducted by the second vehicle.

A vehicle-launching warning device including an acquiring module acquiring traffic light information and driver status information and some or all of: location information, status and navigation of a vehicle, map information, status information of a preceding vehicle, and environmental information; a processing module processing the acquired information to determine whether a target traffic light is at the end of a red light signal and whether a driver's degree of attentiveness is high enough for driving, the target traffic light being a next traffic light in a travelling direction of the vehicle after passing through a current traffic light; a determining module generating a warning command if it is determined the target traffic light is at the end of a red light signal and the driver's degree of attentiveness is not high enough for driving; and an outputting module outputting the warning command to a human machine interface (HMI).