An apparatus and method for controlling an automatic lane change of a vehicle in consideration of a speed limit are configured to obtain information about the speed limit of a road from map information including information about the speed limit of the road, and calculate a speed at which an automatic lane change function is operable based on the speed limit of the road. As a result, it is possible to control the automatic lane change of the vehicle while automatically complying with laws and/or regulations in consideration of the speed limit of the road.

A control unit 15 of an in-vehicle device 1 configured to acquire, from landmark data LD that is map data including position information of one or more features, plural pieces of position information of a feature which is drawn on a road surface and which exists at or around a vehicle. Then, the control unit 15 is configured to calculate a normal vector of an approximate plane calculated based on the acquired plural pieces of the position information. Then, the control unit 15 is configured to calculate at least one of a pitch angle or a roll angle of the vehicle based on the orientation of the vehicle and the normal vector.

A vehicle navigation apparatus includes a vehicle navigation unit and a route guidance control unit. The vehicle navigation unit includes a route setting unit and a navigation control unit. The route setting unit sets a route to a destination point on the basis of information on a position of a vehicle, information on a destination point, and first map information stored in a storage. The navigation control unit performs guidance on the route and controls the form of displaying the route on a display. The route guidance control unit includes at least one processor determining the driving entity of a vehicle. In a case where the at least one processor determines that the driving entity of the vehicle is the vehicle itself and the vehicle deviates from the route, the at least one processor stops the guidance until the vehicle reaches a next waypoint of the route.

Provided are methods for localization functional safety, which can include systems, methods, and computer program products are also provided. In examples, a method includes applying a transform to a source point cloud and calculating a second metric based on the application of the transform to the source point cloud and a map at a higher ASIL level. A first metric is determined based on a localization function that executes at a lower ASIL level. A deviation between a first metric and the second metric, is determined wherein the vehicle localization is validated when the deviation is less than a predetermined threshold.

A road surface evaluation apparatus includes a microprocessor configured to perform: acquiring driving information of each of vehicles, including a position and an acceleration of each of the vehicles while traveling, and a map information including road information on a road where the vehicles travel; evaluating a surface roughness of the road based on acquired accelerations of the vehicles; estimates a surface change location where the surface roughness has changed, based on a difference between a first road surface information including the evaluated surface roughness evaluated based on the acceleration of the vehicles acquired within a past predetermined period and a second road surface information including the evaluated surface roughness based on the acceleration of the vehicles acquired later than the past predetermined period; and outputting a road surface change information including the estimation result, in association with the road information.

Aspects relate to methods and systems for controlling usage of parking maps for autonomous parking. In some embodiments, an exemplary system includes a computing device, configured to receive a first parking map representative of a first point of interest, wherein the first parking map comprises a first access datum, generate a first map metric associated with the first parking map, and selectively communicate the first parking map with a first remote device as a function of the first access datum.

A method includes detecting, via a processor of an autonomous vehicle, an upcoming downhill road segment of a route on which the autonomous vehicle is currently travelling. The detection is based on map data, camera data, and/or inertial measurement unit (IMU) data. In response to detecting the upcoming downhill road segment, a descent plan is generated for the autonomous vehicle. The descent plan includes a speed profile and a brake usage plan. The brake usage plan specifies a non-zero amount of retarder usage and an amount of foundation brake usage for a predefined time period. The method also includes autonomously controlling the autonomous vehicle, based on the descent plan, while the autonomous vehicle descends the downhill road segment.

A motor vehicle has at least one driver assistance system and a navigation system that generates a three-dimensional map and a route-related navigation representation when route guidance is activated by the navigation system. When the at least one driver assistance system is activated, sensor data describing the surroundings of the motor vehicle are acquired by at least one sensor unit of the motor vehicle according to a data acquisition rule of the driver assistance system. The acquired sensor data is evaluated to generate at least one driver assistance related additional information representation. The map with the route-related navigation representation and the driver assistance related additional information representation are output by a display device in the motor vehicle.

A vehicle control device that autonomously controls a vehicle so as not to cause rapid deceleration that leads to a deterioration in ride quality. The vehicle control device controls first and second deceleration, means that reduce a speed at a deceleration rate large than a deceleration rate of the first deceleration means. The vehicle control device includes a blind spot area detecting unit that detects a blind spot area of a sensor that recognizes an external environment, and a blind spot object estimating unit that estimates a blind spot object that is a virtual moving body hidden in the blind spot area. When a vehicle approaches the blind spot area at a speed reduced by the first deceleration means, the vehicle is decelerated by the second deceleration means when a type of a moving body detected by the sensor is different from a type of the blind spot object.

An autonomous driving method, an autonomous driving apparatus, a computer-readable storage medium, and a computer program product are provided. The method includes: receiving first driving-related information of a first road section ahead of a road on which a first vehicle currently drives and information about a parking waiting area that are sent by a network side device, where the parking waiting area is used to park the first vehicle before the first vehicle drives into the first road section (S304); then determining, based on the first driving-related information, that the first road section does not meet an autonomous driving condition requirement of the first vehicle (S305); finally, controlling the first vehicle to drive into the parking waiting area (S306).