A method for localization of a vulnerable road user (VRU) includes receiving a received signal strength indication (RSSI) level of a wireless signal of a mobile device carried by the VRU detected by a wireless sensor in an area of interest. The detected RSSI level is compared to RSSI fingerprints stored in a fingerprinting database (DB) so as to identify an RSSI fingerprint having a closest match to the detected RSSI level. The VRU is localized at a position stored in the fingerprinting DB for the identified RSSI fingerprint.

A driving assistance apparatus is provided with: an executor configured to perform an avoidance assistance control when there is an avoidance target, a collision with which is to be avoided, so as to avoid the collision between the vehicle and the avoidance target; a first determinator configured to determine whether or not a lateral distance between the avoidance target and a roadway boundary, which is a distance in a lateral direction of the vehicle, is greater than a first threshold value, wherein the roadway boundary is a boundary between a roadway on which the vehicle travels and an area outside the roadway in which the avoidance target exists; and a controller programmed to control the executor to delay timing of starting the avoidance assistance control when the lateral distance is greater than the first threshold value, in comparison with when the lateral distance is less than the first threshold value.

An interest level detection unit configured to detect a level of interest of an occupant in a travel state of an automatic driving vehicle, a manual driving characteristic learning unit configured to learn manual driving characteristics based on the travel state of the automatic driving vehicle, and an automatic driving characteristic setting unit configured to set automatic driving characteristics based on a surrounding state of the automatic driving vehicle, an interest level determination unit configured to determine the occupant's level of interest in the vehicle travel and a driving characteristic setting unit configured to set the driving characteristics based on the manual driving characteristics learned in the manual driving characteristic learning unit when the level of interest is determined to be high and set the automatic driving characteristics set by the automatic driving characteristic setting unit when the level of interest is determined to be low.

A driving system for a vehicle includes: an input unit configured to receive user input from a user; an interface configured to acquire vehicle driving information and to acquire information from one or more devices provided in the vehicle; at least one processor; and a computer-readable medium having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations including: acquiring information from the one or more devices; determining that the vehicle is to be autonomously driven in absence of a set destination; determining at least one of a first time period or a first distance based on the acquired information; identifying a first area based on at least one of the first time period or the first distance; and providing a control signal configured to autonomously drive the vehicle within the first area.

An information processing apparatus mounted on a first vehicle includes a recognizer that recognizes a second vehicle that is present in a travelling direction of the first vehicle on a basis of sensing information obtained from a sensor attached to an outside of the first vehicle, and a determiner that determines whether or not control for overtaking the recognized second vehicle is executed. The apparatus also includes a generator that generates first information for moving the first vehicle in a second direction toward a second road end in a case where the determiner determines that the control for overtaking is executed, the second road end being opposite to a first road end toward which a first direction is directed, and the first direction being a direction in which the first vehicle moves in order to overtake the second vehicle. The apparatus further includes an outputter that outputs the generated first information.

An autonomous driving system acquires information concerning a vehicle density in an adjacent lane that is adjacent to a lane on which an own vehicle is traveling, when the own vehicle travels on a road having a plurality of lanes. The autonomous driving system selects the adjacent lane as an own vehicle travel lane, when the vehicle density in the adjacent lane that is calculated from the acquired information is lower than a threshold density that is determined in accordance with relations between the own vehicle and surrounding vehicles. The autonomous driving system performs lane change to the adjacent lane autonomously, or propose lane change to the adjacent lane to a driver, when the adjacent lane is selected as the own vehicle travel lane.

Provided are an object recognition device, an autonomous driving system including the same, and an object recognition method using the object recognition device. The object recognition device includes an object frame information generation unit, a frame analysis unit, an object priority calculator, a frame complexity calculator, and a mode control unit. The object frame information generation unit generates object frame information based on a mode control signal. The frame analysis unit generates object tracking information based on object frame information. The object priority calculator generates based on object tracking information. The frame complexity calculator generates a frame complexity based on object tracking information. The mode control unit generates a mode control signal for adjusting an object recognition range and a calculation amount of the object frame information generation unit based on the priority information, the frame complexity, and the resource occupation state.

Exemplary implementations may: generate output signals conveying contextual information and vehicle information; determine, based on the output signals, the contextual information; determine, based on the output signals, the vehicle information, determine, in an ongoing manner, based on the contextual information and/or the vehicle information, values of a complexity metric, the complexity metric quantifying predicted complexity of a current contextual environment and/or predicted complexity of a likely needed response to a change in the contextual information; filter, based on the values of the complexity metric, the contextual information spatially; and control, based on the vehicle information and the spatially filtered contextual information, the vehicle such that the likely needed response is satisfied.

An autonomous driving device is configured to switch a driving mode, and includes a destination setting type autonomous driving mode in which a vehicle is made to travel to a destination and a following road autonomous driving mode in which, when a destination is not set, the vehicle is made to travel along a road. The autonomous driving device includes a display unit and an electronic control unit. The electronic control unit is configured to, when the display unit is made to display a traveling route along a following road traveling route, make the display unit display a traveling route from a current position of the vehicle to a nearest branch road in front in a moving direction along the following road traveling route and a moving direction on the nearest branch road along the following road traveling route.

A control device includes an electronic control unit executes steering control for avoiding a collision with an object that has a possibility of colliding with a host vehicle. The electronic control unit sets a timing when the host vehicle is predicted to pass the object as an end timing of the steering control when the steering control is performed. The electronic control unit determines whether or not a deviation possibility is present when the electronic control unit assumes that the steering control ends at the end timing. The deviation possibility is a possibility of the host vehicle deviating from a current traveling lane accompanying an end of the steering control. The electronic control unit performs reduction processing that reduces the deviation possibility when the electronic control unit determines that the deviation possibility is present.