A parking assist device capable of parking assistance that ensures high accuracy of a parking location is provided. A parking assist device that assists in performing an operation of parking a vehicle includes a parking-allowing location calculation unit that before the vehicle stops at a parking-allowing location, calculates and updates the parking-allowing location a plurality of times, and a parking route calculation unit that calculates a parking route. The parking route calculation unit sets a minimum turning radius for calculating the parking route, based on the amount of a shift between the parking-allowing location not updated and the parking-allowing location having been updated, and calculates the parking route, using the minimum turning radius. The minimum turning radius is set larger than the minimum value of a turning radius unique to the vehicle.

The present invention provides a driving support device for supporting driving of a vehicle, the driving support device comprising: a detection unit configured to detect a current position of the vehicle; an acquisition unit configured to acquire data for updating a driving support function equipped on the vehicle; a control unit configured to control update of the driving support function based on the data acquired by the acquisition unit, wherein the control unit is configured to execute the update in a state in which an ignition of the vehicle is on, in a case of determining, based on the current position detected by the detection unit, that the update is to be completed before reaching a situation in which the driving support function may be activated.

A method for automating a driving function. The method includes an activation of a process controlling the driving function is triggered using an activation condition modelled by a trigger, and the process is temporally controlled by an activation manager during the controlling of the driving function.

According to one embodiment, a mobile unit management device includes a processor with hardware, configured to generate an operation schedule of at least one mobile unit, control an operation of the mobile unit based on the operation schedule, upon a need arising for updating of the operation schedule, estimate a future position of the mobile unit based on an old operation schedule that has not yet been executed on the mobile unit, generate a new operation schedule based on the future position, integrate the old operation schedule and the new operation schedule into an integrated operation schedule, and control the operation of the mobile unit based on the integrated operation schedule.

A first vehicle control device generates and outputs a first vehicle packet that includes first vehicle information and a first time indicating a time when the first vehicle information is acquired. A second vehicle control device includes a reception determining portion successively determining whether the first vehicle packet is received, a second time acquisition portion acquiring a second time indicating a time when the first vehicle packet is received, a delay calculation portion calculating a communication delay time that is a difference between the first time and the second time, and a second vehicle control portion performing a delay considering control that is set by changing a delay ignoring control based on the communication delay time, the delay ignoring control being a vehicle control determined based on the first vehicle information when assuming that the first time and the second time are same.

A system for determining a condition of a roadway a vehicle is traveling on includes an illumination device, a camera, a display, and a vehicle controller in electrical communication with the illumination device, the camera, and the display. The vehicle controller is programmed to project the light beam onto the roadway surface using the illumination device. The vehicle controller is further programmed to capture a plurality of images of the light beam on the roadway surface using the camera as the vehicle is in motion. The vehicle controller is further programmed to determine a severity of a deformation in the roadway surface based at least in part on the plurality of images of the light beam on the roadway surface. The vehicle controller is further programmed to notify the occupant of the vehicle using the display based on the severity of the deformation in the roadway surface.

A hardware unit of an ADV comprises an input port to directly receive data from one or more sensors perceiving a driving environment. The hardware unit is coupled with the one or more sensors to perform data processing of the data from one or more sensors. The hardware unit comprises a monitor unit to monitor a data rate of output data after the data processing. The hardware unit further comprises a self-adjustment unit to dynamically configure and adjust the data processing based on the data rate of output data. The hardware unit further comprises an output port to transfer the output data to an autonomous driving system (ADS) of the ADV to control the ADV to drive autonomously based on the output data.

An acquisition unit acquires data regarding a travel trajectory of another vehicle from the other vehicle. A specifying unit specifies an intersection position between the travel trajectory of the other vehicle and a travel trajectory of a self-vehicle. A setting unit setts a region based on the intersection position and the travel trajectory of the other vehicle as a monitoring region when performing driving assistance. A determination unit determines whether or not to update the monitoring region based on a result of comparison between first data that is the data used to set the monitoring region and second data that is the data acquired from the other vehicle traveling in the monitoring region. The setting unit updates the monitoring region based on the second data in a case where the determination unit determines to update the monitoring region.

In a method for displaying driving route section factors influencing a vehicle, a first item of information concerning a first driving route section is determined. A second item of information concerning a second driving route section is determined. Depending on the first item of information, at least one first set of parameters that is representative of at least one factor of the first driving route section influencing the vehicle is determined. Depending on the second item of information, at least one second set of parameters that is representative of at least one factor of the second driving route section influencing the vehicle is determined. Depending on the at least one first set of parameters and the at least one second set of parameters, a display that represents an influencing factor of the first driving route section and an influencing factor of the second driving route section, in particular with reference to a predefined reference variable, is produced.

An autonomous driving control apparatus includes a sensor device obtaining information around an autonomous vehicle and including a plurality of sensors, a memory storing information about a high definition map around the autonomous vehicle, and a controller classifying the sensors into at least one sensor set based on the information around the autonomous vehicle and the information about the high definition map, using a sensor set classification table, monitoring a computational resource utilization rate and a resource occupancy rate of the memory, calculating a determiner input drop rate and determining whether there is an available resource, using the monitored computational resource utilization rate and the monitored resource occupancy rate, determining whether to additionally allocate at least one determiner using the determiner input drop rate and whether there is the available resource, and changing an autonomous driving determination period.