Abstract: A method, an apparatus, and a program of predicting an obstacle course, capable of appropriately predicting a course of an obstacle even under a complicated traffic environment, are provided. The course, which the obstacle may take, is predicted based on the position and the internal state of the obstacle, and at the time of the prediction, a plurality of courses are probabilistically predicted for at least one obstacle. When there are a plurality of obstacles, the course in which different obstacles interfere with each other is obtained from the predicted courses, which a plurality of obstacles may take, and the predictive probability of the course for which the probabilistic prediction is performed from the courses in which they interfere with each other is lowered. Probability of realizing each of a plurality of courses including the course of which predicted probability is lowered is calculated.

Abstract: A method, an apparatus, and a program of predicting an obstacle course, capable of appropriately predicting a course of an obstacle even under a complicated traffic environment, are provided. For this purpose, the course, which the obstacle may take, is predicted based on the position and the internal state of the obstacle, and at the time of the prediction, a plurality of courses are probabilistically predicted for at least one obstacle. When there are a plurality of obstacles, the course in which different obstacles interfere with each other is obtained from the predicted courses, which a plurality of obstacles may take, and the predictive probability of the course for which the probabilistic prediction is performed from the courses in which they interfere with each other is lowered. Probability of realizing each of a plurality of courses including the course of which predicted probability is lowered is calculated.

Abstract: System, methods, and other embodiments described herein relate to locally aligning features within a map. In one embodiment, a method includes segmenting map data that forms the map using a first grid to divide the map into a first set of tiles and a second grid to divide the map into a second set of tiles that are offset and overlap the first set of tiles. The method includes analyzing neighbor tiles in relation to a patch tile based, at least in part, on shared features between the patch tile and the neighbor tiles to identify external misalignments between one or more of the neighbor tiles and the patch tile. The neighbor tiles are from a different one of the first grid and the second grid. The method includes adjusting alignment of the neighbor tiles within the map according to the external misalignments for the neighbor tiles.

Abstract: System, methods, and other embodiments described herein relate to autonomously controlling a vehicle according to a trajectory plan. In one embodiment, a method includes updating, upon traveling over at least a portion of a current segment of a roadway, the trajectory plan for a subsequent segment of the roadway by setting a fixed portion of the trajectory plan to include: (i) a steering parameter to be fixed for a first duration of time and (ii) a speed parameter to be fixed for a second duration of time. The first duration of time and the second duration of time are of different lengths. The method includes computing input controls for autonomously controlling the vehicle according to the fixed portion of the trajectory plan. The method includes controlling the vehicle according to the input controls over the subsequent segment of the roadway.

Abstract: System, methods, and other embodiments described herein relate to autonomously controlling a vehicle according to a trajectory plan. In one embodiment, a method includes updating, upon traveling over at least a portion of a current segment of a roadway, the trajectory plan for a subsequent segment of the roadway by setting a fixed portion of the trajectory plan to include: (i) a steering parameter to be fixed for a first duration of time and (ii) a speed parameter to be fixed for a second duration of time. The first duration of time and the second duration of time are of different lengths. The method includes computing input controls for autonomously controlling the vehicle according to the fixed portion of the trajectory plan. The method includes controlling the vehicle according to the input controls over the subsequent segment of the roadway.

Abstract: System, methods, and other embodiments described herein relate to calibrating a sensor of a first vehicle. In one embodiment, a method includes, in response to detecting that a second vehicle is proximate to the first vehicle, acquiring perceived information from the sensor about the second vehicle. The method includes comparing the perceived information with vehicle information to generate an offset that characterizes a variance within the perceived information produced by the sensor. The vehicle information identifies known characteristics of the second vehicle. The method includes adjusting the sensor according to the offset to correct the variance of the sensor.

Abstract: A vehicle traveling controller performs emergency evacuation traveling in the case of an emergency. The vehicle traveling controller determines whether a vehicle traveling in accordance with a normal traveling rule is not dangerous and becomes proper traveling or not based on environmental information around the vehicle, when it is determined that the vehicle traveling in accordance with the normal traveling rule becomes proper traveling, executes normal traveling control for instructing the vehicle to travel in accordance with the normal traveling rule, and when the vehicle traveling in accordance with the normal traveling rule does not become proper traveling, executes emergency evacuation traveling control for instructing the vehicle to perform emergency evacuation traveling not in accordance with the normal traveling rule.

Abstract: An autonomous driving vehicle system includes: a surrounding information detection unit that is configured to detect surrounding information on a vehicle; and at least one electronic control unit including: a travel plan generation unit configured to generate a travel plan along a pre-set target route based on the surrounding information and map information; a traveling control unit configured to autonomously control a traveling of the vehicle based on the travel plan; and a warning light control unit configured to turn on a warning light earlier than a start time of a braking of the vehicle in the travel plan, the warning light informing a following vehicle about the braking.

Abstract: Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

Abstract: A vehicle traveling controller performs emergency evacuation traveling in the case of an emergency. The vehicle traveling controller determines whether a vehicle traveling in accordance with a normal traveling rule is not dangerous and becomes proper traveling or not based on environmental information around the vehicle, when it is determined that the vehicle traveling in accordance with the normal traveling rule becomes proper traveling, executes normal traveling control for instructing the vehicle to travel in accordance with the normal traveling rule, and when the vehicle traveling in accordance with the normal traveling rule does not become proper traveling, executes emergency evacuation traveling control for instructing the vehicle to perform emergency evacuation traveling not in accordance with the normal traveling rule.

Abstract: A method of autonomous driving includes identifying, from detected information about an environment surrounding a vehicle on a roadway, a lateral surface profile of the roadway. Based on the lateral surface profile of the roadway, vertical wheel positions at identified candidate future lateral positions of the vehicle are determined. Based on the determined vertical wheel positions, as part of a driving path along the roadway, future lateral positions of the vehicle from among the identified candidates therefor are determined using an energy function that algorithmically favors low vertical wheel positions.

Abstract: Arrangements relating to the transitioning of a vehicle between operational modes are described. The vehicle can transition between a first operational mode and a second operational mode. The second operational mode has a greater degree of manual involvement than the first operational mode. For instance, the first operational mode can be an unmonitored autonomous operational mode, and the second operational mode can be a monitored autonomous operational mode or a manual operational mode. It can be determined whether an operational mode transition event has occurred while the vehicle is operating in the first operational mode. In response to determining that an operational mode transition event has occurred, a time buffer for continuing in the first operational mode before switching to the second operational mode can be determined. A transition alert can be presented within the vehicle. The transition alert can represent the determined time buffer.

Abstract: Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

Abstract: A method of autonomous driving includes identifying, from detected information about an environment surrounding a vehicle on a roadway, a lateral surface profile of the roadway. Based on the lateral surface profile of the roadway, vertical wheel positions at identified candidate future lateral positions of the vehicle are determined. Based on the vertical wheel positions, as part of a driving path along the roadway, future lateral positions of the vehicle from among the identified candidates therefor are determined using an energy function that favors low vertical wheel positions.

Abstract: Disclosed is a route evaluation device that enables traveling along a route in consideration of an operation of the driver of another vehicle, and can realize a safer traffic environment. A route evaluation device includes a route candidate generation section that generates route candidates of a host-vehicle, a route prediction section that predicts routes of another vehicle, a classification section that classifies the interference states of the route candidates of the host-vehicle and the predicted routes of another vehicle into a plurality of interference forms, and a route evaluation section that evaluates the routes of the host-vehicle on the basis of the interference forms classified by the classification section.

Abstract: A vibrating body includes a substrate, a piezoelectric element comprising a piezoelectric layer and electrode layers and joined to the substrate, and a ceramic layer between the substrate and the piezoelectric element. The ceramic layer comprises a first region and a second region which is adjacent to the first region in a direction perpendicular to a thickness direction of the ceramic layer. The first region has a square shape, each side of the first region having a length equal to a thickness of the ceramic layer, the second region has a square shape, each side of the second region having the length equal to the thickness of the ceramic layer, and a difference between a porosity of the first region and a porosity of the second region is not greater than 15%.

Abstract: Provided is a driving assist device 10 that recognizes an object in the vicinity of a moving body, and assists a driver in driving the moving body, the apparatus including: an object detecting unit 12 that detects the object in the vicinity of the moving body; a three dimensional object detecting unit 13 that detects a three dimensional object in the vicinity of the moving body; and an object recognition unit 18 that recognizes the object at a predetermined detection position as a non-obstacle when the object information storing unit 16 stores the position of the object, and the three dimensional object information storing unit 17 does not store the position of the three dimensional object at the predetermined position in which detection is performed by both of the object detecting unit 12 and the three dimensional object detecting unit 13.

Abstract: Disclosed is a route evaluation device that enables traveling along a route in consideration of an operation of the driver of another vehicle, and can realize a safer traffic environment. A route evaluation device includes a route candidate generation section that generates route candidates of a host-vehicle, a route prediction section that predicts routes of another vehicle, a classification section that classifies the interference states of the route candidates of the host-vehicle and the predicted routes of another vehicle into a plurality of interference forms, and a route evaluation section that evaluates the routes of the host-vehicle on the basis of the interference forms classified by the classification section.

Abstract: Arrangements related to operating an autonomous vehicle in view-obstructed environments are described. At least a portion of an external environment of the autonomous vehicle can be sensed to detect one or more objects located therein. An occupant viewable area of the external environment can be determined. It can be determined whether one or more of the detected one or more objects is located outside of the determined occupant viewable area. Responsive to determining that a detected object is located outside of the determined occupant viewable area, one or more actions can be taken. For instance, the action can include presenting an alert within the autonomous vehicle. Alternatively or in addition, the action can include causing a current driving action of the autonomous vehicle to be modified.

Abstract: Arrangements related to operating an autonomous vehicle in view-obstructed environments are described. At least a portion of an external environment of the autonomous vehicle can be sensed to detect one or more objects located therein. An occupant viewable area of the external environment can be determined. It can be determined whether one or more of the detected one or more objects is located outside of the determined occupant viewable area. Responsive to determining that a detected object is located outside of the determined occupant viewable area, one or more actions can be taken. For instance, the action can include presenting an alert within the autonomous vehicle. Alternatively or in addition, the action can include causing a current driving action of the autonomous vehicle to be modified.