A driving assistance apparatus includes a controller programmed to perform a deceleration assistance process of assisting in decelerating a vehicle before the vehicle arrives at a deceleration object, and to control a display apparatus to display, in a first display area, first notification information for notifying an occupant of the vehicle of the deceleration object that is a target for the deceleration assistance process. When a first object and a second object that is different from the first object are both detected as the deceleration object and the second object is the target for the deceleration assistance process but the first object is not the target for the deceleration assistance process, the controller is programmed to control the display apparatus to display, in a second display area, second notification information for notifying the occupant of the first object, the second display area is different from the first display area.

A method and an apparatus for testing a ramp driving performance, and a storage medium, where the method includes: controlling, according to a preset traveling track, an automatic driving vehicle to perform a stopping operation when the automatic driving vehicle is traveling on a ramp to a reference position; obtaining relative position information between an actual stopping position of the automatic driving vehicle and a reference object disposed at the reference position; and determining, according to the relative position information, whether the automatic driving vehicle is accurately stopped on the ramp. The driving performance of the automatic driving vehicle in a special scenario, such as ramp stopping, can be accurately detected, thereby ensuring a driving safety of the automatic driving vehicle in the ramp stopping scenario.

A vehicle controller includes a processor configured to detect an abnormal condition of a driver of a vehicle, based on an inside sensor signal, search a predetermined section from the position of the vehicle at detection of the driver’s abnormal condition for a first evacuation space by referring to map information, detect an obstacle in the first evacuation space, based on an outside sensor signal, search the predetermined section for a second evacuation space by referring to the map information when the obstacle is detected, control the vehicle to stop the vehicle in the second evacuation space when the second evacuation space is detected, and control the vehicle to stop the vehicle on a roadway being traveled by the vehicle in the predetermined section when the second evacuation space is not detected.

A method for controlling autonomous driving of a vehicle according to the present invention comprises the steps of: constructing a safe stopping distance table including multiple preset stopping levels corresponding to multiple stopping distances determined based on multiple stopping variables required for calculating a safe stopping distance; acquiring current stopping variables required for calculating the safe stopping distance during autonomous driving; determining any one of the preset stopping levels as a current stopping level based on the acquired current stopping variables; selecting a certain stopping distance corresponding to the determined current stopping level as a current stopping distance, using the safe stopping distance table, and controlling a driving speed of the vehicle so that a distance between the vehicle and a preceding vehicle is maintained as the selected current stopping distance.

An autonomous driving system configured to perform an autonomous driving of a vehicle includes a trigger input request unit configured to perform a trigger input request for requesting a driver of the vehicle to perform a trigger input for causing the vehicle to pass through a target point if the autonomously driving vehicle approaches the target point set in advance and positioned on a traveling route of the vehicle, a trigger input detection unit configured to detect the driver's trigger input, and a vehicle control unit configured to cause the vehicle to pass through the target point if the trigger input is detected, and causes the vehicle to decelerate and stop without passing through the target point if the trigger input is not detected.

A method for autonomous navigation of an autonomous vehicle includes: accessing a first scan image containing data captured by a sensor on the autonomous vehicle at a first time; identifying a first group of points in the first scan image representing an object in a field proximal the autonomous vehicle; characterizing a first motion of the object at the first time based on the first group of points; characterizing an uncertainty of the first motion of the object at the first time; calculating a predicted second uncertainty of a second motion of the object at a second time based on the first motion of the object and motion of the autonomous vehicle at the first time; and, in response to the predicted second uncertainty falling below the uncertainty, muting the object from braking consideration for object avoidance by the autonomous vehicle at the second time.

A driver assistance device includes a processor. The processor is configured to perform deceleration assistance control when a driver of a vehicle is not depressing an accelerator pedal, the deceleration assistance control being control for automatically decelerating the vehicle. The processor is configured to detect an operation of the accelerator pedal. The processor is configured to cancel the deceleration assistance control when the operation of the accelerator pedal is detected during the deceleration assistance control. The processor is configured to reduce a deceleration control amount for the deceleration assistance control according to a degree of the operation of the accelerator pedal, when cancelling the deceleration assistance control.

Aspects of the disclosure provide for controlling an autonomous vehicle. For instance, data identifying an object may be received. A first portion of a trajectory may be generated using a first uncertainty distribution for the object. The first portion of the trajectory may enable the autonomous vehicle to make progress towards a destination of the autonomous vehicle. A fallback portion of the trajectory may be generated using a second uncertainty distribution for the object. The fallback portion may enable the autonomous vehicle to stop. The second uncertainty distribution may be different from the first uncertainty distribution, and the second uncertainty distribution may be based on a predetermined uncertainty distribution if the autonomous vehicle loses a localization improvement process. The autonomous vehicle may be controlled according to the trajectory.

A traffic signal recognition method and a traffic signal recognition device estimate whether or not a vehicle can be decelerated at a predetermined deceleration acceleration and can stop before a stop line based on a position of the stop line corresponding to a traffic signal located in a traveling direction of the vehicle, select the traffic signal corresponding to the stop line as a target traffic signal in a case where it is estimated that the vehicle cannot stop before the stop line, set detection area corresponding to the target traffic signal on an image obtained by capturing the traveling direction of the vehicle, and determine a display state of the target traffic signal by executing image processing on the detection area.

A hybrid vehicle includes an engine, a motor, and a controller. The controller is configured to control the engine and the motor. The controller is configured to, when the engine is operated under load at the time when the vehicle slows down and stops in an autonomous driving mode in which the vehicle runs without driver's operation, set a controlling lower limit rotation speed of the engine to a maximum rotation speed out of a plurality of candidate rotation speeds and control the engine such that the engine is operated under load within a range higher than or equal to the controlling lower limit rotation speed.