A vehicle includes a sensor provided to obtain first motion information which is motion state information of an object, a navigator provided to obtain location information of the vehicle, and a controller including at least one processor configured to process the location information and the first motion information, wherein the controller is configured to receive an expected motion value of the object based on the location information, compare the expected motion value with the first motion information to determine a difference value therebetween, and conclude the object as a dangerous object when the difference value is greater than or equal to a predetermined value.

An autonomous vehicle may include an autonomous driving control apparatus including a processor that is configured to request remote control of the autonomous vehicle to a control system when the remote control of the autonomous vehicle is required, and when receiving a driving path stored during a previous remote control of the autonomous vehicle from the control system, follows and controls the received driving path.

Among other things, techniques are described for predicting how an agent (e.g., a vehicle, bicycle, pedestrian, etc.) will move in an environment based on prior movement, the road network, the surrounding objects and/or other relevant environmental factors. One trajectory prediction technique involves generating a probability map for an agent's movement. Another trajectory prediction technique involves generating a trajectory lattice, for an agent's movement. In addition, a different trajectory prediction technique involves multi-modal regression where a classifier (e.g., a neural network) is trained to classify the probability of a number of (learned) modes such that each model produces a trajectory based on the current input.

The system comprises input means for receiving user data from associated user monitoring means that each monitor at least one respective attribute of the user of the vehicle. The user data is indicative of the plurality of respective attributes. A plurality of inference modules each receive user data from the user monitoring means, and each determine a respective inference of a cognitive state of the user based on the received user data. Each inference module is arranged to output user state data indicative of the determined inference of the cognitive state of the user. An inference fusion module receives the user state data from each of the plurality of inference modules to determine an inference of an aggregated cognitive state of the user and to output cognitive state data indicative of the aggregated cognitive state for controlling the vehicle functions.

A control apparatus includes a reception control unit configured to perform control to receive, when a movable object is located at a first point, presence information of a risk area including a plurality of position coordinates specified through image recognition by another movable object, a determination unit configured to determine whether the movable object is in a vicinity of the risk area based on the plurality of position coordinates included in the presence information of the risk area for which the reception control unit has performed the control to receive, a transmission control unit configured to perform control to transmit, when the determination unit determines that the movable object is in the vicinity of the risk area, information related to presence of the movable object, and a control unit configured to execute control of the movable object.

A system for controlling a vehicle includes a terminal that collects at least one of a fault code of at least one controller of the vehicle, operation state data of the vehicle at a time the fault code is generated, and update data of the at least one controller, and a server that receives at least one of the fault code, the operation state data, or the update data of the at least one controller, in which the server labels fault code differently to classify the fault code depending on whether there is an update history of the at least one controller in which the fault code is generated.

A system for increasing the safety of voice conversations between drivers and remote parties is shown. The system includes an in-vehicle subsystem and a remote subsystem. The system includes a plurality of sensors which are configured to generate monitoring data. The system includes a computing device, which may be distributed between the subsystems and is configured to calculate a risk level as a function of the monitoring data. The computing device may engage an automatic safety response as a function of the risk level, that may include suspension or termination of on-going conversations among the parties, together with notification about the status of the communication channel. The safety response may be communicated to the driver by generating an alert. The in-vehicle and the remote subsystems communicate using a wireless connection and collaborate in engaging the automatic safety response and communicating any alerts to the driver and remote party using notifications.

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.

An example apparatus includes at least one processor and at least one memory coupled to the at least one processor and storing programming instructions for execution by the at least one processor to: obtain map data at a current moment, where the map data includes a first road area at the current moment, the special road condition is located in the first road area, the first road area is obtained based on a road condition model and a vehicle parameter within a preset time period before the current moment, and the road condition model represents a correspondence between a feature of the vehicle parameter and the special road condition; and determine, based on a planned route of a vehicle, that a second road area exists in the planned route of the vehicle, where the second road area is in the first road area.

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.