Abstract: A route guidance device that guides a user along a movement route, the route guidance device including an acquisition unit configured to acquire, from a communication device, location information including a departure location and a destination location of the user, a search unit configured to search for a plurality of movement routes from the departure location to the destination location, based on the location information acquired by the acquisition unit, and a provision unit configured to provide the communication device with the plurality of movement routes searched for by the search unit, wherein the plurality of movement routes includes a first movement route using a first moving body of a riding type capable of traveling on a roadway, and a second movement route using a second moving body of a self-propelled type capable of traveling on a sidewalk.

Abstract: An information processing apparatus comprising: an acquisition unit configured to acquire physical strength information related to physical strength and time information related to a scheduled farm work time of a work group including at least one worker who performs farm work; a determination unit configured to determine a work ability of the work group based on the physical strength information; and a crop type selection unit configured to select a crop type to be proposed to the work group based on the work ability determined by the determination unit and the time information acquired by the acquisition unit.

Abstract: A map generation apparatus including a detection device that detects an external situation around a subject vehicle, and an electronic control unit including a microprocessor and a memory. The microprocessor is configured to perform generating a first map for a current lane on which a subject vehicle travels, based on the external situation detected by the detection device, and acquiring a map information on an opposite lane map for an opposite lane generated by another vehicle traveling on the opposite lane opposite to the current lane. The microprocessor is configured to perform the generating further including generating a second map for the current lane corresponding to a point where the map information on the opposite lane map has been acquired, by inverting the opposite lane map.

Abstract: A map generation apparatus including a microprocessor. The microprocessor is configured to perform recognizing another vehicle traveling on an opposite lane opposite to a current lane on which a subject vehicle travels, acquiring an information of an external situation around the other vehicle in a route matching section when the other vehicle is recognized, the information of the external situation being obtained by the other vehicle traveling on the opposite lane, the route matching section being a section in which a driving route of the subject vehicle and a driving route of the other vehicle match in a driving route including the current lane and the opposite lane, and generating a map for the opposite lane in the route matching section, based on the information of the external situation.

Abstract: An image processing apparatus applies predetermined image processing to an actual image captured by an image capturing device and recognizes a target within the captured image with use of the image which the predetermined image processing has been applied to. The image processing apparatus applies, to tones of the actual image, the predetermined image processing for reducing a difference from tones of a CG image which shows the same scene and which is presented through computer graphics.

Abstract: A map generation apparatus including an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform acquiring a map data of a first map for a current lane on which a subject vehicle travels, and generating a second map for an opposite lane opposite to the current lane by inverting the first map, based on the map data acquired.

Abstract: Provided is a risk estimation device capable of appropriately estimating a risk in a traveling direction of an own vehicle even under the condition that a relationship between a traffic participant and a road condition is inappropriate. The risk estimation device recognizes a traffic participant, a road condition, and a condition of the traffic participant in the traveling direction of the own vehicle based on a surrounding condition data, determines, by using a reference relationship model, whether the relationship between the traffic participant and the road condition is appropriate, estimates, by using a risk model, a traveling risk in a case where the relationship between the traffic participant and the road condition is determined to be appropriate, and estimates the traveling risk according to the condition of the traffic participant in a case where the relationship between the traffic participant and the road condition is determined to be inappropriate.

Abstract: Provided herein is a vehicle control device that includes a recognition unit that recognizes a surrounding status of a vehicle and a driving control unit that controls a speed and/or a steering of the vehicle. The driving control unit performs switching to a second driving state in which a driver has a higher degree of a monitoring obligation than in a first driving state. The vehicle control device further includes a map updating unit that updates intrinsic map information on the basis of the recognition result and when switching from the first driving state to the second driving state is performed by the driving control unit.

Abstract: A map generation apparatus including a detection device that detects an external situation around a subject vehicle, and an electronic control unit including a microprocessor and a memory. The microprocessor is configured to perform generating a first map for a current lane on which a subject vehicle travels, based on the external situation detected by the detection device, and acquiring a map information on an opposite lane map for an opposite lane generated by another vehicle traveling on the opposite lane opposite to the current lane. The microprocessor is configured to perform the generating further including generating a second map for the current lane corresponding to a point where the map information on the opposite lane map has been acquired, by inverting the opposite lane map.

Abstract: A map generation apparatus including a detection device that detects an external situation around a subject vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform generating simultaneously a first map for a current lane on which the subject vehicle travels and a second map for an opposite lane opposite to the current lane, based on the external situation detected by the detection device.

Abstract: A map generation apparatus including a microprocessor. The microprocessor is configured to perform recognizing another vehicle traveling on an opposite lane opposite to a current lane on which a subject vehicle travels, acquiring an information of an external situation around the other vehicle in a route matching section when the other vehicle is recognized, the information of the external situation being obtained by the other vehicle traveling on the opposite lane, the route matching section being a section in which a driving route of the subject vehicle and a driving route of the other vehicle match in a driving route including the current lane and the opposite lane, and generating a map for the opposite lane in the route matching section, based on the information of the external situation.

Abstract: A map generation apparatus including an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform acquiring a map data of a first map for a current lane on which a subject vehicle travels, and generating a second map for an opposite lane opposite to the current lane by inverting the first map, based on the map data acquired.

Abstract: A map generation apparatus includes a microprocessor configured to perform generating a map, based on a data detected by an in-vehicle detection unit configured to detect a situation around a subject vehicle in traveling, recognizing a traveling direction of the subject vehicle on the generated map, and generating a traffic light information on a traffic light installed at an intersection as an additional information for the generated map. The traffic light is an arrow-type traffic light configured to permit traveling in a direction indicated by an arrow signal light. The microprocessor is configured to perform the generating a traffic light information including generating the traffic light information, based on the direction indicated by the arrow signal light, detected by the detection unit, and the traveling direction of the subject vehicle recognized in the recognizing.

Abstract: A vehicle control apparatus including a detection part configured to detect an external situation around a subject vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform generating a map around the subject vehicle, based on an information on the external situation detected by the detection part, acquiring a travel information of the subject vehicle, extracting a specific information from among the travel information, adding the specific information to a landmark on the map, the landmark being a point on the map where the specific information has been obtained, and assisting in a driving based on the specific information added to the landmark.

Abstract: A vehicle control device includes: a peripheral situation recognition unit (132) configured to recognize a peripheral situation of an automatic driving vehicle; a driving control unit (140, 160, (138)) configured to control one or both of steering and an acceleration or deceleration speed of the vehicle based on the peripheral situation recognized by the peripheral situation recognition unit; and a potential risk estimation unit (138) configured to estimate presence or absence and classification of a potential risk meeting with an obstacle based on classification of a target recognized by the peripheral situation recognition unit and a positional relation between the vehicle and the target. The driving control unit performs the driving control based on an estimation result of the potential risk estimation unit.

Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.

Abstract: An image processing apparatus applies predetermined image processing to an actual image captured by an image capturing device and recognizes a target within the captured image with use of the image which the predetermined image processing has been applied to. The image processing apparatus applies, to tones of the actual image, the predetermined image processing for reducing a difference from tones of a CG image which shows the same scene and which is presented through computer graphics.

Abstract: Provided is a risk estimation device capable of appropriately estimating a risk in a traveling direction of an own vehicle even under the condition that a relationship between a traffic participant and a road condition is inappropriate. The risk estimation device recognizes a traffic participant, a road condition, and a condition of the traffic participant in the traveling direction of the own vehicle based on a surrounding condition data, determines, by using a reference relationship model, whether the relationship between the traffic participant and the road condition is appropriate, estimates, by using a risk model, a traveling risk in a case where the relationship between the traffic participant and the road condition is determined to be appropriate, and estimates the traveling risk according to the condition of the traffic participant in a case where the relationship between the traffic participant and the road condition is determined to be inappropriate.

Abstract: A vehicle control device including: a recognition unit configured to recognize a surrounding status of a vehicle; and a driving control unit configured to control one or both of a speed and steering of the vehicle. The driving control unit performs switching to a second driving state in which a driver has a higher degree of a monitoring obligation than in a first driving state in a case in which the vehicle is caused to travel in the first driving state in which the driver has a lower degree of the monitoring obligation among driving states of a plurality of types, and a recognition result acquired by the recognition unit satisfies a predetermined condition relating to the driving state. The vehicle control device further includes a map updating unit configured to update intrinsic map information on the basis of the recognition result acquired by the recognition unit in a case in which switching from the first driving state to the second driving state is performed by the driving control unit.

Abstract: A 3D object detection method includes: obtaining two-dimensional (2D) coordinates of at least one predetermined key point of a target object in an image to be processed; constructing a pseudo 3D detection body of the target object in a 2D space according to the 2D coordinates of the at least one predetermined key point; obtaining depth information of a plurality of vertices of the pseudo 3D detection body; and determining a 3D detection body of the target object in a 3D space according to the depth information of the plurality of vertices of the pseudo 3D detection body.