A driving action determination device includes a memory and a processor. The processor is configured to acquire map information which includes information about intersections at which a temporary stop line is provided, specify, based on vehicle behavior information detected by sensors mounted at a vehicle, a direction of approach of the vehicle or a direction of movement of the vehicle towards the temporary stop line, specify, based on the specified direction of approach or direction of movement, a temporary stop line where the vehicle is required to make a temporary stop, and determine, based on the vehicle behavior information, whether or not a temporary stop has been made by the vehicle at the specified temporary stop line.

The technology relates to approaches for determining appropriate stopping locations at intersections for vehicles operating in a self-driving mode. While many intersections have stop lines painted on the roadway, many others have no such lines. Even if a stop line is present, the physical location may not match what is in store map data, which may be out of date due to construction or line repainting. Aspects of the technology employ a neural network that utilizes input training data and detected sensor data to perform classification, localization and uncertain estimation processes. Based on these processes, the system is able to evaluate distribution information for possible stop locations. The vehicle uses such information to determine an optimal stop point, which may or may not correspond to a stop line in the map data. This information is also used to update the existing map data, which can be shared with other vehicles.

A vehicle control apparatus includes a detection unit detecting a traveling position and a traveling speed of a subject vehicle and a microprocessor and a memory. The microprocessor is configured to perform acquiring a scheduled switching information of a traffic light located in the traveling direction of the subject vehicle, determining whether to perform a stop operation of stopping the subject vehicle at the road stop line based on the scheduled switching information, the traveling position and the traveling speed, and when it is determined to perform the stop operation, decelerating the subject vehicle at a deceleration equal to or less than a predetermined deceleration until the display mode is switched from the green color mode to the red color and decelerates the subject vehicle so that the subject vehicle stops at the stop line after the display mode is switched to the red color.

If an external environment recognition unit recognizes a traffic signal indicating a stop instruction at a point in time when a distance detection unit detects a distance less than or equal to a first distance, an operation determination unit performs deceleration control at a first rate of deceleration at a point in time when the distance detection unit detects a distance less than or equal to a second distance shorter than the first distance, and if the external environment recognition unit does not recognize the traffic signal at the point in time when the distance detection unit detects the distance less than or equal to the first distance, the operation determination unit performs the deceleration control at a second rate of deceleration smaller than the first rate of deceleration at the point in time when the distance detection unit detects the distance less than or equal to the first distance.

Described herein are systems, methods, and non-transitory computer-readable media for implementing automated vehicle safety response measures to ensure continued safe automated vehicle operation for a limited period of time after a vehicle component or vehicle system that supports an automated vehicle driving function fails. When a critical vehicle component/system such as a vehicle computing platform fails, the vehicle is likely no longer capable of performing calculations required to safely operate and navigate the vehicle in an autonomous manner, or at a minimum, is no longer able to ensure the accuracy of such calculations. In such a scenario, the automated vehicle safety response measures disclosed herein can ensure—despite failure of the vehicle component/system—continued safe automated operation of the vehicle for a limited period of time in order to bring the vehicle to a safe stop.

According to one aspect, an autonomous vehicle includes hardware systems which receive relatively low voltage from a low voltage power distribution unit (LVPDU). An LVPDU includes a power source such as a DC-DC converter and a plurality of backup batteries. The plurality of backup batteries is configured to provide backup power to subsets of components arranged to effectively all be powered by the power source onboard the LVPDU. The backup batteries may be tested, substantially while LVPDU is being used to provide power. The backup batteries may be charged substantially in parallel.

A computer includes a processor and a memory storing instructions executable by the processor to identify a current location of the vehicle in a map of a stopping area, collect data to calibrate a sensor while the vehicle is moving in the stopping area, calibrate the sensor based on the collected data, and actuate one or more vehicle components to move the vehicle to a stopping location in the stopping area based on the location of the vehicle in the map and data collected by the calibrated sensor.

A method includes the step of receiving traffic signal display information from a traffic control unit controlling a display of a traffic signal located near an intersection when a vehicle is driving toward the intersection. The traffic signal display information includes a current display state of the traffic signal and information indicating a remaining time for which the current display state of the traffic signal will continues. The method further includes the step of acquiring traffic signal recognition information when the vehicle is driving toward the intersection. The traffic signal recognition information is recognized by a traffic signal detector mounted on the vehicle and indicating a current display of the traffic signal. The method further includes the step of controlling driving of the vehicle when the vehicle enters the intersection based on the traffic signal display information and the traffic signal recognition information.

An embodiment vehicle includes a navigation device, a communication device, a processor, a non-transitory memory storing software that, when executed by the processor, causes the processor to set a reference traffic light and a front traffic light based on a current location, receive first operation information of the reference traffic light and second operation information of the front traffic light from a server, predict an operation of the front traffic light at a time point at which the vehicle is to pass through the front traffic light based on a vehicle speed, the first operation information, and the second operation information, and control driving according to the predicted operation.

A control device for a vehicle having: an engine; and a variator arranged downstream of the engine in a power transmission path connecting the engine and drive wheels, wherein the control device for the vehicle has a controller that executes a low standby control which downshifts the variator by moving a belt of the variator in a vertical direction (radial direction) during stopping of the vehicle. After starting the low standby control, the controller releases an output limit of the engine based on an actual secondary pressure of the variator.