Systems and methods for providing lane-specific recommendations to a vehicle operator of a vehicle operating on roadways are disclosed. The roadways include one or more lanes in each direction of travel. Exemplary implementations may: generate, by a set of sensors, output signals conveying information pertaining to the vehicle; determine a current location of the vehicle; determine a current direction of travel of the vehicle; detect a current lane being used by the vehicle from the multiple traffic lanes of the particular roadway at the current location in the current direction of travel; obtain lane-specific information regarding the multiple traffic lanes at or near the current location of the vehicle; obtain a goal for providing lane-specific recommendations; determine a lane-specific recommendation for the vehicle; and provide the lane-specific recommendation to the vehicle operator.

This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a road layout based on a Frenet-Serret coordinate system of the road for the vehicle. The trajectory of the vehicle is combined with the road layout to predict an aerial view of the road, and the aerial view of the road is used to at least partially autonomously drive the vehicle. In some embodiments, the machine learning model is applied to process the forward-facing view to determine a first location of an obstacle vehicle in the Frenet-Serret coordinate system. The obstacle vehicle is placed on the aerial map based on the first location of the obstacle vehicle.

An autonomous driving system according to the present disclosure is an autonomous driving system that causes a vehicle to autonomously travel along a path plan, and includes a memory and a processor. The processor is configured to execute a determination process of determining whether offset processing is necessary, the offset processing offsetting the path plan in a lane width direction with respect to a reference traveling position in a changed lane after a lane change when the lane change is performed in response to that a preceding vehicle is present, and a process of generating the path plan related to the lane change so as to connect to the path plan that is offset in the changed lane after the lane change when the offset processing is necessary.

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.

A vehicular control system includes a plurality of sensors disposed at a vehicle and sensing exterior of the vehicle. An electronic control unit (ECU) includes a processor that processes sensor data captured by the sensors. The vehicular control system, responsive at least in part to processing at the ECU of captured sensor data as the vehicle travels in a traffic lane of a road, detects another vehicle that is rearward of the equipped vehicle and traveling along an adjacent traffic lane. The vehicular control system detects a leading vehicle ahead of the equipped vehicle and traveling in the same traffic lane as the equipped vehicle. The vehicular control system, responsive to determination of a space along the other traffic lane ahead of the detected other vehicle, controls the equipped vehicle to maneuver into the adjacent traffic lane to pass the detected leading vehicle ahead of the detected other vehicle.

A traveling path setting method for a vehicle has a set traveling path of a host vehicle that includes a traveling path that turns across another lane at an intersection. The traveling path setting method is configured to set a traveling path for turning of the vehicle to an inner side of a turning direction when an adjacent vehicle exists within a predetermined distance outward of the traveling path of the host vehicle in the turning direction, compared to a case where no adjacent vehicle exists.

A device for communication between a parked vehicle bounding a parking space and a vehicle to be parked includes a transceiver configured to transmit at least one vehicle-specific minimum distance from the parked vehicle to the vehicle to be parked.

A collision warning method in relation to vulnerable road users (VRUs), applied in a host vehicle when being driven, obtains a relative lateral distance between a vehicle and a VRU and obtains speed of movement of the VRU in addition to speed and direction of the host vehicle. A warning scenario is determined according to the relative lateral distance and the VRU speed. A warning distance according to the warning scenario and the relative speed is calculated, a relative distance between the host vehicle and the VRU is obtained, and the issue of a corresponding level of a collision warning is determined according to a comparison between the warning distance and the relative distance.

An autonomous driving system includes a target object position recognition unit configured to recognize a target object position detected by a vehicle-mounted sensor based on map information in a map database, a vehicle position recognition unit configured to recognize a vehicle position, a relative-relationship-on-map acquisition unit configured to acquire a relative-relationship-on-map between the target object and the vehicle based on the target object position and the vehicle position on the map, a detected-relative-relationship acquisition unit configured to acquire a detected-relative-relationship between the target object detected by the sensor and the vehicle based on a result of detection performed by the sensor, a map accuracy evaluation unit configured to evaluate map accuracy of the map information based on the relative-relationship-on-map and the detected-relative-relationship, and an autonomous driving permission unit configured to permit an autonomous driving control using the map information based on the result of evaluation of the map accuracy.

A parking assistance device includes a parking direction specification unit specifying a parking direction in a case where a subject vehicle is parked at a parking region, an obstacle detection unit detecting an obstacle, a detection range setting unit setting a detection range for detecting a bearing of the obstacle, a division unit dividing the detection range in a direction associated with the specified parking direction and generating plural divided ranges, a bearing calculation unit calculating a bearing of the detected obstacle, which is a bearing of a side surface of the obstacle which extends in the parking direction, for each of the divided ranges and calculating an average value of the bearings which are respectively calculated for the divided ranges, and a parking position setting unit setting a parking position where the subject vehicle is parked at the parking region based on the calculated average value.