To provide a vehicle control system that is capable of planning a trajectory that can ensure more visibility and enables safe traveling when an invisible range of a sensor exists.

A vehicle control system that plans a target trajectory of a vehicle based on recognition information from an external environment sensor, the vehicle control system including a recognizing unit that recognizes an object at a periphery of the vehicle based on the recognition information; and a trajectory planning unit that plans the target trajectory such that an actual detection range of the external environment sensor becomes wide when the recognizing unit recognizes the object.

A modular control device for a vehicle comprises: a base frame mounted on the vehicle; and an upgrade frame detachably mounted on the base frame. A first printed circuit board (PCB), on which a base block for providing an interface with devices in the vehicle is implemented, is mounted on the base frame. A second PCB having a memory and a main processor is mounted on the upgrade frame.

A route generation device includes: an autonomous route generator configured to generate, based on surrounding information around an own vehicle detected by a vehicle-mounted detector, an expected autonomous route along which the own vehicle is to travel; a map route acquirer configured to acquire an expected map route along which the own vehicle is to travel based on map data; and an integrated route generator configured to generate an integrated route using the autonomous route and the map route.

A route generation device includes: an autonomous route generator configured to generate, based on surrounding information around an own vehicle detected by a vehicle-mounted detector, an expected autonomous route along which the own vehicle is to travel; a map route acquirer configured to acquire an expected map route along which the own vehicle is to travel based on map data; and an integrated route generator configured to generate an integrated route using the autonomous route and the map route.

A vehicle control system (500) controls a vehicle whereon a plurality of ECUs (30) and a vehicle integrated control device (10) to control the plurality of ECUs (30) are mounted. The vehicle integrated control device (10) includes a control target value operation unit to calculate a control target value to control the plurality of ECUs (30). Further, the vehicle integrated control device (10) includes a prediction control value operation unit to estimate a state of the vehicle in the future, and to calculate a prediction control value to control the plurality of ECUs (30). The vehicle integrated control device (10) includes an instruction signal generation unit to generate an instruction signal including an operation instruction and a prediction control instruction. Each of the plurality of ECUs (30) includes an actuator control unit to control an actuator (50) based on the prediction control instruction.

An automatic storage and retrieval system includes: a delivery vehicle; a storage container carried by the delivery vehicle; and an unloading station for unloading an item from the storage container while it is being carried by the delivery vehicle. The unloading station includes: an unloading device; and a destination conveyor configured to convey the item to a target destination, wherein the unloading device is configured to move the item through a side opening of the storage container to the destination conveyor.

A vehicle trajectory prediction device is provided. The vehicle trajectory prediction device includes a transceiver, at least one processor, and at least one memory operatively connected with the at least one processor to store at least one instruction causing the at least one processor to perform operations. The operations receive first trajectory data for an ego-vehicle and second trajectory data for at least one neighbor-vehicle, obtain a first feature vector from a first extractor and obtain a second feature vector from a second extractor, obtain an interdependency feature vector between the ego-vehicle and the at least one neighbor-vehicle from a third extractor having mapping data generated by mapping the second feature vector to the second trajectory data as input data, and generate predicted trajectory data of the ego-vehicle from a trajectory generator having the first feature vector and the interdependency feature vector as input data.

A speed control system (12) for a vehicle (100), the speed control system (12) being configured to: automatically cause application of positive and negative torque, as required, to one or more wheels of a vehicle (100) to cause a vehicle to travel in accordance with a target speed value, the target speed value being stored in a memory of the control system (12); and detect a crest of a slope ahead of the vehicle (100); wherein the speed control system (12) is configured automatically to attempt to adjust a speed of the vehicle (100) to cause the vehicle (100) to travel at a predetermined crest speed value when a crest of a slope is detected ahead of the vehicle (100), the predetermined crest speed value being determined in dependence at least in part on terrain gradient information respect of terrain prior to the crest.

Provided is a sensor recognition integration device capable of reducing the load of integration processing so as to satisfy the minimum necessary accuracy required for vehicle travel control, and capable of improving processing performance of an ECU and suppressing an increase in cost. A sensor recognition integration device B006 that integrates a plurality of pieces of object information related to an object around an own vehicle detected by a plurality of external recognition sensors includes: a prediction update unit 100 that generates predicted object information obtained by predicting an action of the object; an association unit 101 that calculates a relationship between the predicted object information and the plurality of pieces of object information; an integration processing mode determination unit 102 that switches an integration processing mode for determining a method of integrating the plurality of pieces of object information on the basis of a positional relationship between a specific region (for example, a boundary portion) in an overlapping region of detection regions of the plurality of external recognition sensors and the predicted object information; and an integration target information generation unit 104 that integrates the plurality of pieces of object information associated with the predicted object information on the basis of the integration processing mode.

A method of determining a target path according to a source electronic control unit (ECU) mounted on a vehicle is provided. The method includes obtaining state information of a plurality of paths connecting the source ECU with a destination ECU, selecting the target path for target data from among the plurality of paths based on the state information, and transmitting the target data to the destination ECU through an ECU located on the selected target path, the state information including information about at least one of power consumption of an ECU located on the paths, a temperature of the ECU located on the paths, a latency of the paths, and a transmission success rate of the paths.