A method and a control device for controlling speed of a vehicle having an automatic cruise control system configured to automatically control speed based on a set speed and to automatically reduce the speed to a predetermined safe speed below the set speed as it is detected that the vehicle approaches a road section of a predetermined type such as a curve. The method includes while automatically controlling the speed towards the predetermined safe speed as the vehicle approaches the road section of the predetermined type, receiving a request from a driver of the vehicle to control speed to a temporary speed different from the predetermined safe speed and the set speed. The method includes in response to said request, controlling the speed to the temporary speed. The method includes at an end of the road section of the predetermined type, automatically controlling the speed based on the set speed.

A driving assistance device configured to execute deceleration assistance for a driver's vehicle when the driver's vehicle turns right or left at an intersection is configured to recognize, based on a detection result from an external sensor of the driver's vehicle, an adjacent vehicle traveling in an adjacent lane adjacent to a traveling lane of the driver's vehicle, determine whether the adjacent vehicle turns in the same direction of the driver's vehicle at the intersection based on the detection result from the external sensor when the adjacent vehicle is recognized and the driver's vehicle turns right or left at the intersection, and execute the deceleration assistance to cause a vehicle-to-vehicle distance between the driver's vehicle and the adjacent vehicle to reach a distance equal to or larger than a target driver's vehicle-to-adjacent vehicle distance when the driving assistance device determines that the adjacent vehicle turns in the same direction.

In an overhead-structure recognition device to be mounted to a vehicle, a determination unit is configured to, in response to a vertical distance between an object of interest and a high-reflectivity object being greater than or equal to a predefined value of vertical distance, determine that the object of interest is an overhead structure which is a structure located above the vehicle that does not obstruct travel of the vehicle. The object of interest corresponds to a subset of interest among a plurality of subsets acquired by dividing range point cloud data. The high-reflectivity object is an object other than the object of interest, among objects corresponding to the respective subgroups, whose reflectance is greater than or equal to a predefined value of reflectance.

A vehicle lane change control apparatus includes a condition information acquisition unit that acquires condition information of an occupant of a vehicle, a lane change rate database unit that stores a lane change rate that is determined based on a lane change pattern of a driver analyzed based on driving information when a lane of the vehicle is changed and road condition information when the lane of the vehicle is changed and indicates a speed of the lane change, and a control unit that changes the lane of the vehicle through steering control according to operation information of the vehicle, and based on the condition information of the occupant acquired by the condition information acquisition unit, controls the lane change of the vehicle by selectively using the lane change rate and a corrected lane change rate determined by increasing or decreasing the lane change rate.

A crest detection system (10, 19, 185C) for a vehicle (100), the system comprising a processing means (10, 19) arranged to receive, from terrain data capture means (185C) arranged to capture data in respect of terrain ahead of the vehicle by means of one or more sensors, terrain information indicative of the topography of an area extending ahead of the vehicle (100), wherein the processing means (10, 19) is configured to, in dependence upon a predicted path of the vehicle (100) over said terrain extending ahead of the vehicle (100), determine that a crest exists in the predicted path in dependence at least in part on the detection of a discontinuity in terrain along the predicted path ahead of the vehicle (100) based on the terrain information, and information in respect of slope of terrain before the discontinuity.

A method and device for determining whether a user is actively driving a motor vehicle or car sick. The sensor device is provided for sensing eye movement of the user and the method includes supplying an artificial intelligence with data originating from the sensor device in order to recognize at least one frequency of eye movements of the user, a frequency of eye movements above a first threshold characterizing a visualization by the user of a passing landscape, and being distinguished from a concentration of gaze of a vehicle driver, and determining a current frequency of eye movements of the user and comparing the current frequency with the first threshold, and if the current frequency is greater than the first threshold, triggering a notification signal for the user.

In an overhead-structure recognition device to be mounted to a vehicle, a determination unit is configured to, in response to there being, among specific pieces of range point data each having a direction variable indicating a predefined direction, a predefined number or more of pieces of range point data each having a distance variable taking a plurality of values, determine that an object of interest corresponding to a subset of interest of pieces of range point data is an overhead structure. The predefined direction is a direction such that a horizontal angle difference from a direction indicated by the direction variable of the piece of range point data corresponding to the object of interest is within a predefined angle range and an angle with respect to a vertical direction is greater than an angle between the vertical direction and a direction of travel of the vehicle.

When a transport is operating, there may be circumstances where the transport may be at least partially compromised and may be less safe than normal. In such situations where the transport is determined as being unsafe, the transport may act to limit the functionality of the transport. An example operation may include confirming that a transport includes at least one component that is not an original or authorized component, and limiting a functionality of the transport when it is determined that the operator of the transport is not associated with the transport.

Methods, vehicles, and systems described herein generate alerts based on a generated macro state level indicative of a traffic hazard risk in view of a set of parameters which may lead driver to make various sub-conscious decisions. The set of parameters can include at least one of a vehicle parameter, driver state parameter, or external parameter.

A method includes an initial trailer health assessment and real-time trailer health monitoring. The initial trailer health assessment includes autonomous pre-trip maneuvers of the autonomous vehicle during a first time period, and detecting a pre-trip vehicle health condition. A vehicle health score is calculated based on the pre-trip vehicle health condition. If the vehicle health score is at least a threshold value, real-time trailer health monitoring is performed during a trip of the autonomous vehicle during a second time period, by actively monitoring vehicle dynamics data and/or image data associated with the autonomous vehicle, to determine a fault condition of the autonomous vehicle. If the fault condition meets a first criteria, a control parameter and/or a travel plan of the autonomous vehicle is adjusted. If the fault condition meets a second criteria different from the first criteria, a signal is sent to cause the autonomous vehicle to cease movement.