The invention is a method of characterizing a road for at least one route travelled by at least one road user, with sensors: a three-axis accelerometer (ACC) and a geolocation sensor (GPS). The method comprises a measurement step (MES), a measurement processing step for disregarding (AFF) the effects related to the road user's speed in order to determine vibrations due to the road roughness, and an analysis of the vibrations to characterize (CAR) the condition of the road.

A vehicle travel control device executes trajectory following control to make the vehicle follow a target trajectory. A delay time represents control delay of the trajectory following control. A delay compensation time is at least a part of the delay time. The trajectory following control includes: displacement estimation processing that estimates a displacement of the vehicle in the delay compensation time; and delay compensation processing that corrects a deviation between the vehicle and the target trajectory based on the estimated displacement to compensate the control delay. The displacement estimation processing is effective in an effective period and ineffective in an ineffective period. When the ineffective period is included in the delay time of the trajectory following control, the displacement estimation processing is executed in a temporary mode by using sensor-detected information in the effective period without using the sensor-detected information in the ineffective period.

Provided is An apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data, and configured to receive a map on which the host vehicle travels from a server, compare a speed limit included in the map with a speed limit included in the image data, and control a display of the host vehicle so as to display the speed limit based on the image data.

A method for enabling a route for automated driving operation of a vehicle involves enabling a route ahead of the vehicle for automated driving operation of the vehicle if it is determined, using a digital map, which is used during automated driving operation for landmark-based localization of the vehicle, that there are landmarks present along the route which, with regard to their suitability for longitudinal and transverse localization of the vehicle, fulfil requirements which are predefined according to a course of the route.

A method for controlling a user-initiated vehicle-operation-command, the user of the vehicle being located external to the vehicle during an autonomous driving or parking operation of the vehicle, is provided wherein the vehicle-operation-command is a cancellation or stop command of the autonomous driving or parking operation. A system equipped to perform the method and to a vehicle including the system is also provided. The method and apparatus enhance the security-level of autonomous driving and parking operations.

A vehicle includes an electric machine that generates torque to move wheels of the vehicle, and a controller. The controller operates the electric machine to limit a maximum speed at which the vehicle is driven in reverse such that the maximum speed depends on a number of detected objects behind the vehicle.

A controller of a vehicle, while the vehicle is within a predefined geofenced region and responsive to the vehicle entering park, increases a maximum state of charge threshold for the battery and decreases a minimum state of charge threshold for the battery. The controller also, while the vehicle is located within the predefined geofenced region and responsive to the vehicle exiting park, decreases the maximum state of charge threshold and increases the minimum state of charge threshold.

In an approach to improve mobile computation while traveling by dynamically generating one or more routes base on computing resource requirements of one or more endpoint devices. Embodiments identify, in real time, a plurality of autonomous vehicles, wherein the plurality of autonomous vehicles are traveling along a common route. Further embodiments, adjust, in real time, relative positions and speeds of the plurality of autonomous vehicles to maintain the plurality of autonomous vehicles within a predetermined geographic area while traveling along the common route, and wherein the predetermined geographic area is sufficient to collectively provide an amount of edge computing resources to satisfy one or more computing resource requirements of the one or more endpoint devices located within a first autonomous vehicle. Additionally, embodiments adjust, in real time, a route of the first autonomous vehicle based on the common route of the plurality of autonomous vehicles providing the edge computing resources.

An information processing apparatus comprises a controller configured to: detect that shutdown operation that is operation of stopping a traveling system is performed for a predetermined vehicle; and determine an operation mode after the shutdown operation for at least one of a plurality of electronic control units provided at the vehicle based on a first location that is a location at which the shutdown operation is performed.

A method and an apparatus for controlling personal mobility device (PMD) depending on congestion includes identifying a target area according to an expected route of the PMD, acquiring a degree of congestion of the target area based on at least one of a type of objects, a movement of the objects, a distance between objects, the number of objects that is expected, and a speed limit of the target area, and controlling speed of the PMD according to the degree of congestion.