An automated driving enabled vehicle includes a travel controller, an automated driving indicator lamp, and a lamp controller. The automated driving indicator lamp is switched on perceptibly from outside the vehicle on the occasion of automated driving. The lamp controller acquires, during the execution of the automated driving, information regarding a surrounding moving body present around the vehicle. The lamp controller makes a lighting control of the automated driving indicator lamp during the execution of the automated driving, in response to presence of any surrounding moving body around the vehicle executing the automated driving.

Provided is a vehicle control apparatus (100) which includes a recognition unit (130) configured to recognize a surrounding situation of a vehicle, and driving control units (140 and 160) configured to automatically control acceleration or deceleration and steering of the vehicle on the basis of a surrounding situation recognized by the recognition unit, in which, in a case that a stop position of the vehicle is recognized in the traveling direction of the vehicle by the recognition unit, and a traffic participant proceeding at a speed lower than the speed of the vehicle in the traveling direction is recognized in front of the stop position, the driving control unit determines whether the traffic participant catches up with the vehicle before the vehicle reaches the stop position, and determines to cause the vehicle to reach further ahead of the traffic participant in the traveling direction on the basis of a result of the determination.

Provided is an automated valet parking system that automatically moves an autonomous driving vehicle to a pick-up space of a parking place by issuing an instruction to the autonomous driving vehicle parked in the parking place according to a pick-up request from a user. The system includes a user position determination unit configured to determine whether or not a user frontend of the user is located in a preset pick-up area or a preset near-pick-up area including the pick-up space, a pick-up request reception unit configured to receive the pick-up request when the user position determination unit determines that the user frontend is located in the pick-up area or the near-pick-up area, and a vehicle instruction unit configured to instruct the autonomous driving vehicle that is a target of the pick-up request to move to the pick-up space when the pick-up request reception unit receives the pick-up request.

A method, including: acquiring a point cloud frame including point cloud data of a pedestrian; projecting the point cloud data of the pedestrian to a ground coordinate system to obtain projection point data of the pedestrian; determining a direction of a connection line between the two shoulders of the pedestrian, based on a location distribution of the projection point data; extracting a point cloud of a stable region from the point cloud data of the pedestrian based on the direction of the connection line between the two shoulders of the pedestrian, a form change range of the stable region when the pedestrian moves being smaller than form change ranges of other regions of the pedestrian; and determining movement information of the pedestrian based on a coordinate of a center point of the point cloud of the stable region in a plurality of consecutive point cloud frames.

Systems and methods for controlling autonomous vehicle are provided. A method can include obtaining, by a computing system, data indicative of a plurality of objects in a surrounding environment of the autonomous vehicle. The method can further include determining, by the computing system, one or more clusters of the objects based at least in part on the data indicative of the plurality of objects. The method can further include determining, by the computing system, whether to enter an operation mode having one or more limited operational capabilities based at least in part on one or more properties of the one or more clusters. In response to determining that the operation mode is to be entered by the autonomous vehicle, the method can include controlling, by the computing system, the operation of the autonomous vehicle based at least in part on the one or more limited operational capabilities.

The present radio system transmits an electromagnetic signal to nearby devices requesting the device respond. The radio system also receives responses to the electromagnetic signal from the nearby devices. Based on the radio technology used, the signaling of the transmitted electromagnetic signal may be varied. For example, the transmitted electromagnetic signal may be a Bluetooth, 802.11, or other radio signal. A device that received the signal from the radio unit may transmit a response signal with the same radio technology. However, in some instances, the radio technology used for communication may operate on several radio (e.g., frequency) channels. Both the transmitter and receiver must operate on the same channel at the same time in order to communicate. Thus, it may be desirable to transmit the electromagnetic signal on more than one channel at the same time, in order to increase the chances that a nearby device responds.

In one embodiment, a process is performed during controlling Autonomous Driving Vehicle (ADV). A confidence level associated with a sensed obstacle is determined. If the confidence level is below a confidence threshold, and a distance between the ADV and a potential point of contact with the sensed obstacle is below a distance threshold, then performance of a driving decision is delayed. Otherwise, the driving decision is performed to reduce risk of contact with the sensed obstacle.

An apparatus for controlling a lane change of an autonomous vehicle and a method thereof. The apparatus includes a learning device that performs deep learning by subdividing situation information into groups to be considered when the autonomous vehicle changes a lane, and a controller that controls the lane change of the autonomous vehicle based on a learning result of the learning device.

A driving assistance apparatus is configured to determine whether a preset deceleration assistance start condition is satisfied, start deceleration assistance for a driver's vehicle against a first deceleration-triggering object, determine whether a preset deceleration assistance termination condition is satisfied, issue a deceleration assistance termination notification to a driver of the driver's vehicle, determine whether a second deceleration-triggering object is detected ahead of the driver's vehicle, and determine whether a preset quick resumption condition is satisfied. The driving assistance apparatus is configured not to issue the deceleration assistance termination notification when the driving assistance apparatus determines that the quick resumption condition is satisfied, even in a case where the driving assistance apparatus determines that the deceleration assistance termination condition for the first deceleration-triggering object is satisfied.

Exemplary embodiments described in this disclosure are generally directed to systems and methods for predicting a behavior of a pedestrian on the basis of a behavioral profile of the pedestrian. The behavioral profile may be generated in a personal communication device of the pedestrian (such as a smartphone) based on activities performed by the pedestrian such as walking on a sidewalk, stepping off the sidewalk to walk on a road, standing on a sidewalk waiting for a traffic light to change, stepping onto the road when waiting for a traffic light to change, and/or crossing a road when the traffic light is red. The behavioral profile may also be based on other factors such as a traffic citation, an accident report, a status of a driver's license, and/or physical characteristics of the pedestrian (age, gender, etc.).