Abstract: A manufacturing station and a manufacturing process for workpieces, in particular car body parts. The manufacturing station includes a processing area having a working point and a processing apparatus. A security partition surrounds the processing area and has a secure access point for workpiece transport. The manufacturing station further includes an automatic loading apparatus with loading robots. The loading apparatus loads and unloads workpieces onto and off a conveyor and transports the workpieces into and out of the processing area. The automatic and multifunctional loading apparatus is arranged, together with a workpiece support, inside the security partition, wherein the workpiece support is arranged within the working area of the loading robots. A loading robot provides workpieces and carries out a setting-up procedure.

Abstract: A parking control method is provided for executing a control instruction to move a vehicle along a parking route on the basis of an operation command acquired from an operator located outside the vehicle. This method includes detecting movement of the operator; calculating an anxiety level of the operator from the movement of the operator; and when the anxiety level is less than a predetermined threshold, parking the vehicle in accordance with a first control instruction that is preliminarily set in the control instruction, while when the anxiety level is not less than the predetermined threshold, calculating a second control instruction obtained by limiting a control range of the first control instruction, and parking the vehicle in accordance with the second control instruction.

Abstract: Disclosed herein is a signature verification apparatus including a first verification circuitry verifying a user's signature by comparing dynamic signature data indicating a change of a user's writing state over time during signing of his or her name by the user and reference data for dynamic signature, a second verification circuitry verifying the user's signature by comparing static signature data indicating a writing path during signing of his or her name by the user and reference data for static signature, and a data registration circuitry registering the reference data for dynamic signature and register the reference data for static signature. In a case where the reference data for static signature has yet to be registered by the data registration circuitry, the second verification circuitry verifies the user's signature by regarding static signature data generated from the reference data for dynamic signature already registered as the reference data for static signature.

Abstract: An autonomous traveling vehicle, equipped with autonomous traveling function on a standard machine, has a high-pressure selector valve placed on a flow path in which pressure-oil is supplied from a standard brake valve (SBV) installed in the standard machine to a hydraulic brake. A flow path is installed to connect the high-pressure selector valve and an autonomous brake control valve (ABCV) that is supplied with pressure-oil delivered by a hydraulic pump. Further, an autonomous traveling controller is installed to perform control for autonomous travel, and an autonomous brake controller is installed to perform open or close control on the ABCV in response to a braking instruction from the autonomous traveling controller. When the brake pedal is stepped on, the pressure-oil flows from the SBV to the hydraulic brake, and when the autonomous traveling controller outputs a stop instruction, the pressure-oil flows from the ABCV to the hydraulic brake.

Abstract: A robot includes a body and a bumper. The body is movable relative to a surface and includes a first portion of a sensor. The bumper is mounted on the body and movable relative to the body and includes a backing and a second portion of the sensor. The backing is movable relative to the body in response to a force applied to the bumper. The second portion of the sensor is attached to the backing and movable with the backing relative to the first portion of the sensor in response to a force applied to the bumper. The sensor is configured to output an electrical signal in response to a movement of the backing. The electrical signal is proportional to an amount of displacement of the second portion relative to the first portion.

Abstract: A computing system includes: a control unit, coupled to the communication unit, configured to: monitor a current vehicle operation measure for an essential vehicle control function of a user vehicle in an autonomous vehicle operation state; calculate an operation measure modification factor based on a vehicle operation profile of the user vehicle; calculate a modified model input from the current vehicle operation measure based on the operation measure modification factor; generate a vehicle operation instruction, with the modified model input, for the essential vehicle control function according to a vehicle operation model to operate the essential vehicle control function of the user vehicle in the autonomous vehicle operation state; and a communication unit configured to provide the vehicle operation instruction to an autonomous vehicle operation system.

Abstract: Disclosed are an apparatus and a method for controlling a reverse driving. The apparatus includes: a movement trace storage unit configured to detect and store the movement trace of the vehicle moving forward; a restricted driving area identifier configured to identify a restricted driving area, based on at least one of the processing result of the image data, the location information, and pre-stored map information; a reverse driving path determiner configured to identify whether a reverse driving request signal is received when the restricted driving area is identified, generate one or more driving paths, based on, the stored movement trace when the reverse driving request signal is received, and determine the reverse driving path, based on the one or more driving paths; and a movement controller configured to control movement of the vehicle to reverse the vehicle along the reverse driving path.

Abstract: A method comprising receiving, by a vehicle computer, first information specifying a user, a time, and a location, the first information received by the vehicle computer from a first communication channel; causing the vehicle to navigate to the geographic location so as to arrive at the specified location; at the geographic location: receiving, by the vehicle computer, second information identifying the individual, time and location, the second information received over a second communication channel different than the first communication channel, the second information sent by a mobile device at the location; comparing, by the vehicle computer, the first information and the second information; and responsive to the comparing, causing, by the vehicle computer, one or more doors of the vehicle to unlock or open.

Abstract: A method for transmitting pieces of information between vehicles of a vehicle platoon during a lane change for circumventing an obstacle. A first vehicle of the vehicle platoon checks, in response to an identification of the obstacle, whether an evasive maneuver of the first vehicle into an alternative lane is possible. If the check yields that the evasive maneuver of the first vehicle is not possible, an assistance request is output to a communication interface for communication with at least one second vehicle of the vehicle platoon to prompt the second vehicle to conduct an evasive maneuver into the alternative lane.

Abstract: A traveling position of a host vehicle is controlled using barrier lines as a reference. Autonomous driving is executed by either a both-side recognition control in which the position of the host vehicle is controlled based on left and right barrier lines, or a one-side recognition control in which the position of the host vehicle is controlled based on either one of the left or right the barrier lines. A region currently being traveled in is stored as a steering-wheel-turned region when a steering wheel is turned in one direction and subsequently turned in a returning direction due to the switching of control between the both-side recognition control and the one-side recognition control, and autonomous driving under the control preceding the steering-wheel-turned region is continued when the steering-wheel-turned region is subsequently traveled in.

Abstract: Method and apparatus are disclosed for user interfaces for vehicle remote park-assist. An example remote park-assist system includes a mobile app. The mobile app includes an interface for a touchscreen of a mobile device. The interface includes a pushbutton for receiving a continuous stationary input and an input pad for receiving a dynamic input sequence. The example remote park-assist system also includes a communication module for communication with the mobile device and an autonomy unit to perform motive functions while the interface simultaneously receives the continuous stationary input and the dynamic input sequence.

Abstract: A robotic work tool comprising a motor for driving at least one wheel, an inclination sensor and a controller for controlling the operation of the robotic work tool, the controller being configured to; receive a signal indicating a collision; determine if the signal indicating a collision is above a collision threshold level and, if so, determine that a collision has been detected, the robotic work tool being characterized in that the controller is further configured to: receive an indication of an inclination; and to adapt the collision threshold accordingly based on said indication of an inclination.

Abstract: An obstacle-avoidance system for a vehicle, the obstacle-avoidance system may comprise: a communication device; a plurality of sensors, the plurality of sensors configured to detect collision threats within a predetermined distance of the vehicle; and a processor. The processor may communicatively couple to the communication device and the plurality of sensors and configured to receive navigation commands being communicated to a control system via said communication device. The processor may also receive, from at least one of said plurality of sensors, obstruction data reflecting the position of an obstruction. Using the obstruction data, the processor identifies a direction for avoiding said obstruction. In response, the processor may output, via said communication device, a command to said control system causing the vehicle to travel in said flight direction.

Abstract: A method includes: retrieving an initial flight path for a first unmanned aerial vehicle (UAV), the initial flight path being from a geographical point A to a geographical point B; generating a projected initial energy consumption of the first UAV for completion of a flight along the initial flight path; retrieving a flight path of a second UAV; generating a projected revised energy consumption of the first UAV for completion of a flight along an altered flight path, the altered flight path being a flight path from point A to point B where the first UAV aerodynamically drafts the second UAV for at least a portion of the altered flight path; comparing the projected revised energy consumption to the projected initial energy consumption to determine which of the projected revised energy consumption and the projected initial energy consumption is lower.

Abstract: An apparatus for providing a safety strategy in a vehicle is provided. The apparatus includes a sensor configured to sense information about the outside of the vehicle, a memory storing road information, and a control circuit configured to be electrically connected with the sensor and the memory. The control circuit generates a route which is toward a shoulder included in a road where the vehicle is traveling, when a control authority transition demand of the vehicle is ignored, adjusts an operational condition of an automatic lane change based on at least a portion of a speed of the vehicle, a speed of a following vehicle in a target lane of the route, or a distance between the vehicle and the following vehicle, and performs the automatic lane change toward the shoulder along the route, when the adjusted operational condition is satisfied.

Abstract: A work equipment control device includes a bucket posture-determining unit, a working plane-determining unit, and a bucket control unit. The bucket posture-determining unit determines an angle of a bucket in global coordinates. The working plane-determining unit determines an angle of a working plane in the global coordinates indicating a target shape of an excavation object of work equipment. The bucket control unit controls the bucket such that a difference between the angle of the bucket and the angle of the working plane maintains a uniform angle.

Abstract: A system and method for generating land maps of a land area. The land maps can include two-dimensional and three-dimensional land maps. The land maps may be efficiently generated based on field data obtained by mobile machines configured to traverse the land area, with the mobile machines associated with one or more sensors. The land maps may be used to accurately and efficiently guide other mobile machines as such mobile machines traverse through or operate within the land area.

Abstract: An autonomous moving body includes a main body, a bumper, collision detection sensor and position detection processor. A detection range of an obstacle with respect to the bumper is set along the bumper with a travelling direction of a main body as a center. In case of detecting the collision of the bumper with the obstacle, the position detection means moves the main body by a predetermined distance toward a vertical direction with respect to a line in the travelling direction that divides the detection range into two ranges and in a direction on a side of one of the two ranges. In case of detecting a collision with the obstacle after the movement, the position detection processor detects the one range as the collision position, and in case of not detecting a collision with the obstacle, the position detection processor detects the other range as the collision position.

Abstract: Described is a system for controlling autonomous platform. Based on an input image, the system generates a motor control command decision for the autonomous platform. A probability of the input image belonging to a set of training images is determined, and a reliability measure for the motor control command decision is generated using the determined probability. An exploratory action is performed when the reliability measure is above a predetermined threshold. Otherwise, an exploitation action corresponding with the motor control command decision is performed when the reliability measure is below a predetermined threshold.

Abstract: A method for determining a location of a vehicle is provided. The method includes receiving, at data processing hardware, a first set of vehicle system data from one or more vehicles. The method also includes determining, at the data processing hardware, a data model based on the first set of vehicle system data. Additionally, the method includes receiving, at the data processing hardware, a second set of vehicle system data associated with the vehicle. The vehicle being different than the one or more vehicles. The method includes determining, using the data processing hardware, a vehicle location based on the second set of vehicle system data and the data model. The method includes displaying, on a user interface of the vehicle in communication with the data processing hardware, the vehicle location.

Abstract: Aspects of the disclosure provide for determining when to provide and providing secondary disengage alerts for a vehicle having autonomous and manual driving modes. For instance, while the vehicle is being controlled in the autonomous driving mode, receiving user input at one or more using input devices of the vehicle. In response to receiving the user input, the vehicle may be transitioned from the autonomous driving mode to a manual driving mode and provide a primary disengage alert to an occupant of the vehicle regarding the transition. Whether to provide a secondary disengage alert may be determined based on at least circumstances of the user input. After the transition, the secondary disengage alert may be provided based on the determination.

Abstract: The method comprises: obtaining a first image collected by a long-focus camera, a second image collected by a short-focus camera, and positioning information and travelling direction of the autonomous vehicle collected by a positioning sensor at a target moment; according to the positioning information and traveling direction of the autonomous vehicle at the target moment, obtaining, from a high-precision map server, location information of traffic lights within a range of preset distance threshold ahead in the traveling direction of the autonomous vehicle at the target moment; recognizing the state of traffic lights at the target moment, according to the location information of the traffic lights at the target moment, and one image of the first image and second image.

Abstract: In one embodiment, a computing system of a vehicle may capture, using one or more sensors of the vehicle, sensor data associated with a first vehicle of interest. The computing system may identify one or more features associated with the first vehicle of interest based on the sensor data. The computing system may determine a driving behavior model associated with the first vehicle of interest based on the one or more features of the first vehicle of interest. The computing system may predict a driving behavior of the first vehicle of interest based on at least the determined driving behavior model. The computing system may determine a vehicle operation for the vehicle based on at least the predicted driving behavior of the first vehicle of interest.

Abstract: A method for controlling an autonomous vehicle includes navigating the autonomous vehicle based on a set of rules. The method also includes identifying an abnormality in a current driving situation. The method further includes prompting a passenger of the autonomous vehicle to interact with a driver of a first vehicle in response to identifying the abnormality. The method still further includes controlling the autonomous vehicle to violate one or more rules of the set of rules in response to an indication of a successful interaction with the driver.

Abstract: A vehicle control device includes a setting part that sets a target area which is an area used as a target when the host vehicle changes lane, a derivation part that derives a first time period which is a time length required from a start to a termination of a lane change by the host vehicle, and a second time period which is a time length required for a following reference vehicle, traveling at rear of the target area, to catch up with a preceding vehicle traveling in front of the host vehicle, a determination part that determines that the lane change by the host vehicle is possible, in a case at least a condition in which that the first time period is shorter than the second time period is satisfied, and a controller that performs the lane change of the host vehicle.

Abstract: In one embodiment, a method for generating a reference line for operating an autonomous driving vehicle includes controlling an autonomous driving vehicle to move along a road according to a first reference line, the first reference line having a first set of constraints, and while the autonomous driving vehicle is moving along the road according to the first reference line: truncating the first reference line by removing an end section of the first reference line to generate a truncated first reference line including an end reference point, obtaining a second set of constraints for the end reference point, obtaining a second reference line to be used by the autonomous driving vehicle, the second reference line having the first set of constraints, and connecting the second reference line to the end reference point of the truncated reference line to allow the autonomous driving vehicle to move along the road.

Abstract: A driving-rule system (10) suitable to operate an automated includes a vehicle-detector (16) and a controller (20). The vehicle-detector (16) is suitable for use on a host-vehicle (12). The vehicle-detector (16) is used to detect movement of an other-vehicle (14) proximate to the host-vehicle (12). The controller (20) is in communication with the vehicle-detector (16). The controller (20) is configured to operate the host-vehicle (12) in accordance with a driving-rule (22), detect an observed-deviation (24) of the driving-rule (22) by the other-vehicle (14), and modify the driving-rule (22) based on the observed-deviation (24).

Abstract: A data processing device for detecting motion in a sequence of frames each comprising one or more blocks of pixels, includes a sampling unit configured to determine image characteristics at a set of sample points of a block, a feature generation unit configured to form a current feature for the block, the current feature having a plurality of values derived from the sample points, and motion detection logic configured to generate a motion output for a block by comparing the current feature for the block to a learned feature representing historical feature values for the block.

Abstract: An example embodiment of the invention provides a beacon for providing instructions to an autonomous agent. The beacon comprises an audio or visual output arrangement which is configured to output an audio or visual machine-readable signal. The machine-readable signal is configured to provide an instruction to the autonomous agent. The audio or visual output arrangement is configured to provide the output such that the machine-readable signal is, at least partially, inaudible, invisible, or incomprehensible to humans.

Abstract: Methods and systems for evaluating the effectiveness of autonomous operation features of autonomous vehicles are provided. According to certain aspects, information regarding autonomous operation features associated with a vehicle may be determined and used to determine a likelihood of an accident for the vehicle. Determining the likelihood of an accident may include determining risk factors for the features related to the ability of the features to make control decisions that successfully avoid accidents. This may include reference to test data or actual loss data associated with the features, as well as usage data regarding expected use of the features during vehicle operation. Effectiveness of the features may be evaluated relative to location or operating conditions, as well as types and severity of accidents. The determined effectiveness of the features of a vehicle may further be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Abstract: Systems, methods, and vehicles for taking a vehicle out-of-service are provided. In one example embodiment, a method includes obtaining, by one or more computing devices on-board an autonomous vehicle, data indicative of one or more parameters associated with the autonomous vehicle. The autonomous vehicle is configured to provide a vehicle service to one or more users of the vehicle service. The method includes determining, by the computing devices, an existence of a fault associated with the autonomous vehicle based at least in part on the one or more parameters associated with the autonomous vehicle. The method includes determining, by the computing devices, one or more actions to be performed by the autonomous vehicle based at least in part on the existence of the fault. The method includes performing, by the computing devices, one or more of the actions to take the autonomous vehicle out-of-service based at least in part on the fault.

Abstract: One embodiment provides a system comprising at least one processor and a non-transitory processor-readable memory device storing instructions that when executed by the at least one processor causes the at least one processor to perform operations including to obtain sensor data of a vehicle operating in an autonomous mode, determine a confidence level for continued operation of the vehicle in the autonomous mode based on the obtained sensor data, and selectively trigger a handoff protocol based on the confidence level determined. Movement of the vehicle is autonomously controlled in the autonomous mode. The handoff protocol comprises providing information to at least one input/output (I/O) device inside the vehicle as an alert of an upcoming transition from operating the vehicle in the autonomous mode to a manual mode.

Abstract: A system includes a memory and a processor. The memory is configured to store map data indicating positions of landmarks. The processor is configured to receive image data from an image sensor. The processor is also configured to determine, based on the image data, a first estimate of a position, relative to the image sensor, of a landmark identified in the map data. The processor is configured to determine orientation of the image sensor based on inertial measurement unit measurements. The processor is also configured to determine, based on position information, the orientation, and the map data, a second estimate of the position of the landmark. The processor is configured to determine position offset data based on a comparison of the first estimate and the second estimate. The processor is also configured to generate, based on the position offset data and the position information, an output indicating an adjusted position.

Abstract: Embodiments include devices and methods for vehicle collision avoidance. A processor of the vehicle may receive lidar sensor data comprising one or more points including a distance and a direction from the vehicle to the one or more points. The processor may determine a velocity constraint for each of the one or more points based on the distance and direction from the vehicle to the one or more points. Based on a navigation instruction, the processor may determine one or more velocity solutions that satisfy the one or more velocity constraints. The processor may select a velocity solution from the determined one or more velocity solutions based on the navigation instruction, and may adjust a vehicle velocity based on the selected velocity solution.

Abstract: A system includes a processor. The system includes a memory storing instructions executable by the processor to select one of a first message from a first input device or a second message from a second input device based on one of user priority, device priority, or temporal priority. The instructions include instructions to actuate a vehicle based on the selected first or second message.

Abstract: A vehicle control device includes at least one processor configured to perform operations including: performing a function related to autonomous driving based on a sensor signal from a sensing unit of a vehicle; autonomously driving the vehicle based on performance of the function related to autonomous driving; in a state in which the vehicle is autonomously driven, receiving an update request related to a first sensor of the sensing unit from a communication unit of the vehicle; determining presence of a second sensor configured to provide the sensor signal for performance of the function related to autonomous driving; and in response to reception of the update request, updating information related to the first sensor based on presence of the second sensor.

Abstract: The present disclosure is related to a method for docking an autonomous mobile robot. A first effective area is determined A first effective boundary is determined from the one or more first boundaries of the first effective area. An optimal point on the first effective boundary is determined. The autonomous mobile robot is controlled to move to the optimal point. The steps are repeated to make the autonomous mobile robot reach the vicinity of the charging station. The optimal point may be determined from one or more candidate optimal points. Each candidate optimal point defines a respective second effective area centering on the candidate optimal point and overlapping with the first effective area to form a respective overlapping area. The respective overlapping area associated with the optimal point is smallest among the respective overlapping areas associated with the one or more candidate optimal points.

Abstract: In a remote-operation apparatus, a communication circuit receives, from an autonomous vehicle via a network, detection data indicating circumstances of an area around the autonomous vehicle. A display displays an image of the area around the autonomous vehicle generated based on the received detection data. The communication circuit transmits, via the network to the autonomous vehicle that is being remotely operated, a control command including an amount of operation obtained by correcting, based on characteristics of the autonomous vehicle, an amount of operation applied to an operation accepter by a remote operator.

Abstract: The technology relates controlling an autonomous vehicle through a multi-lane turn. In one example, data corresponding to a position of the autonomous vehicle in a lane of the multi-lane turn, a trajectory of the autonomous vehicle, and data corresponding to positions of objects in a vicinity of the autonomous vehicle may be received. A determination of whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane may be made based on a position of the autonomous vehicle in the lane relative to the positions of the objects. The trajectory of the autonomous vehicle through the lane may be adjusted based on whether the autonomous vehicle is positioned as a first vehicle in the lane or positioned behind another vehicle in the lane. The autonomous vehicle may be controlled based on the adjusted trajectory.

Abstract: A position estimation apparatus (10) acquires target information (31) regarding the position of a target body (100) and acquires neighboring information (32) regarding the position of a neighboring body, which is a movable body different from the target body (100), from the neighboring body. The position estimation apparatus (10) determines, as a primary area (41), a relative area in which the neighboring body is estimated to be present from the target information (31) and the neighboring information (32). The position estimation apparatus (10) calculates a probability of presence (43) of the neighboring body in each relative area from a plurality of the primary areas (41) determined within a reference period and determines, as a secondary area (44), a relative area in which the neighboring body is estimated to be present on the basis of the probability of presence (43).

Abstract: A driving assist system includes a steering wheel contact position detector, a steering torque detector, and a driving mode setting calculator. The steering wheel contact position detector includes a plurality of contact sensors disposed in a segmented state on a circumference of a holding part provided on a steering wheel, and is configured to detect a position on the steering wheel at which a driver makes a contact with the steering wheel. The driving mode setting calculator is configured to set a driving mode on the basis of a driving condition. The driving mode setting calculator is configured to determine whether a steering torque detected by the steering torque detector is a steering override intended by the driver or is a false detection, on the basis of the steering torque detected by the steering torque detector and a position at which the contact is detected by the contact sensors.

Abstract: A steering system for a vehicle, including an input shaft, via which a steering force can be input by a steering element, an output shaft acting on a steering actuating mechanism, a coupling for connecting and disconnecting the input shaft and the output shaft with and from each other, respectively, and at least one actuator, by which the coupling can be actuated to couple and uncouple the input shaft and the output shaft with and from each other, wherein in the uncoupled state, the output shaft is independently rotatable relative to the input shaft in such a manner that a steer-by-wire drive controllable by a control unit is provided.

Abstract: Systems and methods are provided for forming a vehicle train. An exemplary method may comprise: detecting, by a first vehicle, a second vehicle traveling in the same direction as the first vehicle on a road; receiving travel information of the second vehicle; determining, by the first vehicle, a lead vehicle of the vehicle train between the first vehicle and the second vehicle based on travel information of the first vehicle and the travel information of the second vehicle; and connecting the first vehicle and the second vehicle to form the vehicle train.

Abstract: An apparatus for providing a safety strategy in a vehicle is provided. The apparatus includes a sensor configured to sense information about the outside of the vehicle, a memory storing road information, and a control circuit configured to be electrically connected with the sensor and the memory. The control circuit generates a route which is toward a shoulder included in a road where the vehicle is traveling, when a control authority transition demand of the vehicle is ignored, adjusts an operational condition of an automatic lane change based on at least a portion of a speed of the vehicle, a speed of a following vehicle in a target lane of the route, or a distance between the vehicle and the following vehicle, and performs the automatic lane change toward the shoulder along the route, when the adjusted operational condition is satisfied.

Abstract: A device may receive information indicating one or more parameters associated with one or more antenna arrays in a radio access network. The device may receive a flight request that indicates one or more conditions for a flight path of an unmanned aerial vehicle (UAV) seeking network access to the radio access network. The device may determine waypoints for the flight path based on analyzing the one or more parameters associated with the one or more antenna arrays and the one or more conditions for the flight path of the UAV. The device may transmit information identifying the waypoints for the flight path. The device may send control information to cause the one or more antenna arrays to form a corresponding one or more beams along the flight path to enable the UAV to traverse the flight path with the network access to the radio access network.

Abstract: An autonomous driving device for a vehicle includes: an actuator; and an electronic control unit configured to detect presence or absence of a driver, generate a first travel plan for causing the vehicle to travel autonomously, and generate a second travel plan by adding, to the first travel plan, a restriction including at least one of a lane change restriction and a vehicle speed restriction. The electronic control unit is configured to perform manned autonomous driving control for causing the vehicle to travel autonomously, by using the actuator, with the driver in the vehicle according to the first travel plan when the presence of the driver is detected, and perform unmanned autonomous driving control for causing the vehicle to travel autonomously, by using the actuator, with the driver not in the vehicle according to the second travel plan when the absence of the driver is detected.

Abstract: A position capture method for capturing an own vehicle position by using a positioning part that measures a position of a vehicle (4) and a plurality of magnetic markers (5) laid on a traveling path of the vehicle (4) with their laying positions specified includes: upon detection of any of the plurality of magnetic markers (5), selecting, from among the laying positions of the plurality of magnetic markers (5), the laying position located nearest to an actual measured position measured by the positioning part; and capturing, as the own vehicle position, a corrected position based on the laying position, thereby making high-accuracy position capture possible.

Abstract: A method and electronic device for selectively obtaining depth information at locations within a scene are described. Image content analysis is performed on a received image of the scene. Locations within the image to obtain depth information within the scene are determined based on the image analysis. The locations are provided to a LIDAR (light+radar) unit to selectively obtain depth information at the scene locations. The depth information is received from the LIDAR unit and a second image analysis is performed on a second image. The second image analysis is based on the image content of the second image and the received depth information. Updated locations based on the second image analysis may be provided to the LIDAR unit to obtain updated depth information.

Abstract: An information processing device in a first vehicle: detects a head-on approach of a second vehicle relative to the first vehicle; determines whether a meeting point is in a first section; calculates a first distance between the first section and the meeting point; when the meeting point is not in the first section, transmits the first distance to the second vehicle, and receives, from the second vehicle, a second distance between the meeting point and a second section; generates travel control information for the first vehicle according to the result of comparison between the first distance and the second distance; and outputs the travel control information to a travel controller of the first vehicle.

Abstract: A user interface apparatus configured to be installed in a vehicle, the apparatus includes a touch screen; a gesture detecting unit configured to detect a gesture of a user and convert the gesture into an electrical signal; and at least one processor configured to determine whether a criteria for switching to an autonomous driving state is satisfied in response to the gesture detected by the gesture detecting unit being applied from a driver seat of the vehicle to the touch screen, further, in response to the criteria for switching to the autonomous driving state being satisfied, the at least one processor is further configured to switch a state of the vehicle to the autonomous driving state.