Abstract: Provided is a technology for recording effective data, as a result of inspection on a to-be-inspected object. This inspection assistance device is provided with: a reception unit that receives information about a to-be-inspected object; an acquisition unit that acquires image data captured by an imaging device; and a recording control unit that, in the case when the imaging time of the image data falls within a prescribed time range based on the time at which the information was received being set as a reference, and when the to-be-inspected object indicated by the received information coincides with the to-be-inspected object recognized from the image data, records the information pertaining to the result of inspection on the to-be-inspected object and the information about the to-be-inspected object in association with each other.

Abstract: The vehicle control system/method for adapting a control function based on a user profile may comprise: a gesture recognition module; a user profile module; a function control module; a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: identify a user; retrieve a user profile for the identified user; receive at a gesture recognition module, an input indicating a gesture from the user; identify a control function request corresponding to the gesture input; send a verification of the control function request; and receive at a function control module characteristics parsed from the user profile that effect the control function request by the user profile module to adapt a control function command for an adapted control function output by the function control module.

Abstract: In exemplary embodiments, methods and systems are provided for controlling an auto high beam functionality for headlights of a vehicle. In an exemplary embodiment, a method includes: obtaining camera data pertaining to an object in front of the vehicle; identifying, via a processor, a radial gradient of pixels in a region of interest from the camera data; and automatically controlling, via the processor, the auto high beam functionality for the headlights based on the radial gradient.

Abstract: In one embodiment, a system receives an initial reference line representing a route from a first location to a second location associated with an autonomous driving vehicle (ADV), where the initial reference line includes a number of reference line segments. The system smooths the line segments by applying a quadratic programming (QP) spline smoothing algorithm to the line segments. The system determines that the QP spline smoothing algorithm for the line segments fails to converge. The system adjusts (or enumerates) a location of an end point of a line segment. The system smooths the line segments by applying a QP spline smoothing algorithm to the adjusted (or enumerated) line segments. The system generates a smoothed reference line based on the smoothed line segments to be used as a reference line of the route to control the ADV.

Abstract: Vehicles and methods for detecting a three-dimensional (3D) position of a traffic sign and controlling a feature of the vehicle based on the 3D position of the traffic sign. An image is received from a camera. The image is processed using a neural network. The neural network includes a traffic sign class block regressing a traffic sign class for a traffic sign included in the image and a rotation block regressing an orientation for the traffic sign. Dimensions for the traffic sign are retrieved from an information database based on the traffic sign class. A 3D position of the traffic sign is determined based on the dimensions of the traffic sign and the orientation of the traffic sign. A feature of the vehicle is controlled based on the 3D position of the traffic sign.

Abstract: A method for implementing parametric models for scene representation to improve autonomous task performance includes generating an initial map of a scene based on at least one image corresponding to a perspective view of the scene, the initial map including a non-parametric top-view representation of the scene, implementing a parametric model to obtain a scene element representation based on the initial map, the scene element representation providing a description of one or more scene elements of the scene and corresponding to an estimated semantic layout of the scene, identifying one or more predicted locations of the one or more scene elements by performing three-dimensional localization based on the at least one image, and obtaining an overlay for performing an autonomous task by placing the one or more scene elements with the one or more respective predicted locations onto the scene element representation.

Abstract: A terminal apparatus transmits, to a server, setting information including specification information of a camera based on input manipulation of the user, environment information indicating an environment in which the camera is installed, and a map image of a place where the camera is installed. The server calculates a capturing area of the camera in the map image, places a subject model that serves as a capturing target of the camera at a prescribed position in the capturing area and generates a synthesized image, generates a face image and a whole body image of the subject model located at the prescribed position that is inferred to be captured by the camera, transmits the synthesized image and the face image and the whole body image of the subject model to the terminal apparatus. The terminal apparatus displays the synthesized image, the face image and the whole body image of the subject model.

Abstract: The present disclosure describes method, apparatus, and storage medium for obtaining object information. The method includes obtaining a to-be-tracked image comprising at least one object and at least one reference image comprising a plurality of objects; extracting a to-be-tracked image block comprising a plurality of to-be-tracked points from the to-be-tracked image and extracting a reference image block comprising a plurality of reference points from a reference image of the at least one reference image; constructing a point transformation relationship between the to-be-tracked image block and the reference image block based on a position relationship between the plurality of to-be-tracked points and a position relationship between the plurality of reference points; and obtaining a position of a reference point in the reference image corresponding to a to-be-tracked point based on the point transformation relationship, to determine an object in the reference image corresponding to the at least one object.

Abstract: There is provided with an imaging apparatus that contains a plurality of imaging sections. An obtaining unit obtains, from an information processing apparatus, identification information designating two or more imaging sections among the plurality of imaging sections. A determination unit determines, based on pieces of profile information each containing setting information regarding a captured image from each of the imaging sections corresponding to the two or more imaging sections, setting information regarding the captured images upon collectively distributing the captured images from the two or more imaging sections. A generation unit generates a virtual profile containing the setting information determined. A sending unit sends information regarding the virtual profile to the information processing apparatus.

Abstract: An automatic door opening and closing system includes a distance measuring device measuring a distance between an external surface of a swing door of a vehicle and an object lying on a circumference of the swing door, a door lock device locking the swing door, a drive device opening and closing the swing door, a door opening operation input device receiving an operation to cancel the locking of the swing door and to open the swing door, and a control device controlling the door lock device and the drive device based on the distance measured in response to receiving the operation. The distance measuring device includes a plurality of distance sensors placed dispersively over the swing door, a measurement target by the distant measuring device including a whole of the external surface of the swing door.

Abstract: Provided is an image processing method. The image processing method includes receiving images acquired from a plurality of vehicles positioned on a road; storing the received images according to acquisition information of the received images; determining a reference image and a target image based on images having the same acquisition information among the stored images; performing an image registration using a plurality of feature points extracted from each of the determined reference image and target image; performing a transparency process for each of the reference image and the target image which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.

Abstract: A method controls drive units for adjusting vehicle seat components. According to the method, a vehicle speed-dependent and crash-related nominal position or a vehicle speed-dependent and crash-related nominal position range are defined for at least one component. Starting from an actual position that is the same as the nominal position or from an actual position within the nominal position range, the actual position cannot be manually or automatically adjusted in the first instance or can only be adjusted in the nominal position range in the second instance, independently from the identification of a crash situation. Starting from an actual position that is different from the nominal position or outside the nominal position range, the actual position is automatically adjusted towards the nominal position or the nominal position range, preferably according to the identified defined situations, independently from the identification of a crash situation.

Abstract: An in-vehicle processing apparatus that executes control of causing a vehicle to perform automated traveling from a predetermined position to a parking space and causing the vehicle to perform automated entry into the parking space, is configured to include a notification control section that causes a portable electronic device carried by a user to display a parking position notification display in which a position of the parking space entered by the vehicle through the automated entry and the predetermined position are superimposed on an image.

Abstract: An information processing system includes one or more vehicles; and a server configured to communicate with the one or more vehicles, wherein each of the one or more vehicles is configured to generate a first video of a traveling route by capturing an outside scene while traveling, and the server is configured to store a plurality of the first videos generated by the one or more vehicles, generate a second video of a specific route using two or more of the first videos, the specific route being different from the traveling route of each of the plurality of the first videos, and send the second video to a terminal device.

Abstract: A method for planning sample points for surveying and mapping is disclosed, which includes: acquiring a reference photographing location point corresponding to a region to be surveyed and mapped, and establishing a mapping relation between one shooting point in a combined shooting point set and the reference photographing location point; determining a plurality of auxiliary photographing location points corresponding to the reference photographing location point based on the mapping relation preset relative positional relations between the shooting points in the combined shooting point set; and using the reference photographing location point and the plurality of auxiliary photographing location points as sample points for surveying and mapping based on which an unmanned aerial vehicle for surveying and mapping performs surveying and mapping in the region to be surveyed and mapped. An apparatus for planning sample points for surveying and mapping, a control terminal, and a storage medium are also disclosed.

Abstract: A night vision apparatus having a camera assembly with a camera housing that has a charge-coupled device image sensor, an infrared illuminator assembly, and a first base assembly. Further having a switch assembly and a display assembly. The camera housing has a top face, a bottom face, a front face, a lens, and an adaptor. The lens has a focal length of approximately 25 mm or 50 mm. The infrared illuminator assembly has a housing, an infrared illuminator lens, an infrared illuminator, and a supporting structure. The infrared illuminator is an approximately 2.5 watt illuminator that produces an approximately 10° main beam pattern. The infrared illuminator assembly is attached to the camera housing. The first base assembly has a suction cup secures the camera assembly onto a surface. The switch assembly is electrically connected to a battery assembly. The display receives and shows images captured by the camera assembly.

Abstract: Aspects of the disclosure relate to verifying the location of an object of a particular type. For instance, a plurality of images of an environment of the vehicle may be received. Associated objects of the particular type may be identified in ones of the plurality of images. A plurality of estimated locations may be determined for the object using a plurality of different localization techniques. For each image of the ones of the plurality of images, determine a reprojection error for each of the plurality of estimated locations. For each of the plurality of estimated locations, an error score is determined based on the reprojection errors. An estimated location may be selected from the plurality of estimated locations based on the determined error score. This selected location may be used to control a vehicle in an autonomous driving mode.

Abstract: A line detection device (10) includes a first detection unit (100) and a second detection unit (200). The first detection unit (100) extracts a pixel located in a range having a predetermined color from an image including a traveling path on which a mobile object travels, and specifies a line of a first color included in the image using a distribution of the extracted pixel in the image. After execution by processing by the first detection unit (100), the second detection unit (200) extracts a pixel located in a luminance range having a predetermined luminance from the image and specifies a line of a second color which is included in the image and is different from the first color using a distribution of the extracted pixel in the image.

Abstract: Systems and methods for determining object intentions through visual attributes are provided. A method can include determining, by a computing system, one or more regions of interest. The regions of interest can be associated with surrounding environment of a first vehicle. The method can include determining, by a computing system, spatial features and temporal features associated with the regions of interest. The spatial features can be indicative of a vehicle orientation associated with a vehicle of interest. The temporal features can be indicative of a semantic state associated with signal lights of the vehicle of interest. The method can include determining, by the computing system, a vehicle intention. The vehicle intention can be based on the spatial and temporal features. The method can include initiating, by the computing system, an action. The action can be based on the vehicle intention.

Abstract: The technology relates to camera systems for vehicles having an autonomous driving mode. An example system includes a first camera mounted on a vehicle in order to capture images of the vehicle's environment. The first camera has a first exposure time and being without an ND filter. The system also includes a second camera mounted on the vehicle in order to capture images of the vehicle's environment and having an ND filter. The system also includes one or more processors configured to capture images using the first camera and the first exposure time, capture images using the second camera and the second exposure time, use the images captured using the second camera to identify illuminated objects, use the images captured using the first camera to identify the locations of objects, and use the identified illuminated objects and identified locations of objects to control the vehicle in an autonomous driving mode.

Abstract: A vehicle trim assembly includes a trim component having an interior facing surface and an exterior facing surface opposite the interior facing surface, a lens assembly overmolded into the trim component, the lens assembly including an optical surface positioned adjacent to the exterior facing surface of the trim component, and a sensor module including a sensor housing enclosing a sensor, the sensor module joined to the trim component and the lens assembly.

Abstract: An item identification method, system and electronic device are provided. The method includes: acquiring multi-frame images of the item by an image capturing device; processing the multi-frame images of the item to obtain position information and category information of the item in each frame image; acquiring auxiliary information of the item by an information capturing device; performing multi-modality fusion on the position information and the auxiliary information to obtain a fusion result; and determining an identification result of the item according to the category information and the fusion result. Through at least some embodiments of the present disclosure, a problem of low identification accuracy when identifying an item in the related art is partially solved.

Abstract: Aspects of the invention described herein include a hydrogel prodrug and methods of making a hydrogel prodrug for drug delivery. Also contemplated are methods of treating, inhibiting, ameliorating or inhibiting a disease or disorder. Without being limiting, the methods for treatment can be directed to a cancer, HIV, a virus, pain, a bacterial infection, a neurological disorder, hemorrhaging, multiple sclerosis, diabetes, high blood pressure, Alzheimer's, or inhibiting a fungal growth in a subject in need.

Abstract: A safety monitoring apparatus and method thereof for human-driven vehicle are provided. The safety monitoring apparatus includes a sensing unit, a processing unit, and a warning unit. The sensing unit and the warning unit are electrically connected to the processing unit, respectively. The sensing unit is arranged on a steering member of the human-driven vehicle and is used for sensing whether the steering member is in contact with a hand of a driver and generating a sensing signal accordingly. The processing unit determines whether the hand of the driver is placed on the steering member. The warning unit is used for generating a safety warning message. When the processing unit determines that the hand of the driver has not been placed on the steering member according to the sensing signal, the processing unit drives the warning unit to generate the safety warning message to warn the driver.

Abstract: An autonomous and non-autonomous vehicle tire imaging and inspection system and methods thereof installed onboard a vehicle providing frequent status for inner and outer tire sidewalls, tire tread wear and tread depth, recorded in memory, transmitted to an onboard diagnostics unit, displayed on a dashboard and optionally transmitted to a network. Autonomous and non-autonomous vehicle vehicles may require passing a safety compliance inspection before driving and receive an insurance compliance approval to operate said vehicles.

Abstract: Provided is an image processing device that includes a wide image capturing unit which captures an image of a wide viewing angle, a tele image capturing unit which captures an image of a narrow viewing angle, and an image processing unit which receives an input of the captured images of the respective imaging units and executes signal processing. In a case where a wide conversion lens is attached to the tele image capturing unit, the image processing unit executes any one of a high-sensitivity image generation processing, a HDR image generation processing, or a high-resolution image generation processing based on the captured images of the wide image capturing unit and the tele image capturing unit according to a situation at the time of imaging with a wide conversion lens attachment detection unit which detects whether the wide conversion lens is attached.

Abstract: A calibration and repair system for advanced driver assistance systems (“ADAS”) and features is configured to provide secure, automated workflow management related to the calibration of User Remote ADAS. Automated workflows include steps and interfaces to aid in preparation of a vehicle for calibration, local-remote collaboration during calibration, customer interactions, workflow and event notification, user authentication, remote system management, and other tasks. The system is also capable of automatically and dynamically adding new and updated calibration specifications that are usable during local-remote collaboration.

Abstract: Machine-learning models are described detecting the signaling state of a traffic signaling unit. A system can obtain an image of the traffic signaling unit, and select a model of the traffic signaling unit that identifies a position of each traffic lighting element on the unit. First and second neural network inputs are processed with a neural network to generate an estimated signaling state of the traffic signaling unit. The first neural network input can represent the image of the traffic signaling unit, and the second neural network input can represent the model of the traffic signaling unit. Using the estimated signaling state of the traffic signaling unit, the system can inform a driving decision of a vehicle.

Abstract: The present disclosure is directed to an autonomous vehicle having a vehicle control system. The vehicle control system includes an image processing system. The image processing system receives an image that includes a plurality of image portions. The image processing system also calculates a score for each image portion. The score indicates a level of confidence that a given image portion represents an illuminated component of a traffic light. The image processing system further identifies one or more candidate portions from among the plurality of image portions. Additionally, the image processing system determines that a particular candidate portion represents an illuminated component of a traffic light using a classifier. Further, the image processing system provides instructions to control the autonomous vehicle based on the particular candidate portion representing an illuminated component of a traffic light.

Abstract: Various embodiments include a method for providing an image using a camera monitor system for a motor vehicle with a trailer, wherein the camera monitor system has a rear camera assigned to a rear side of the trailer, a side camera assigned to a longitudinal side of the motor vehicle, and a monitor for presenting images of the cameras. The method may include: capturing a first image with the rear camera; capturing a second image with the side camera; constructing a composite image comprising the first image and the second image based at least in part on an ascertained trajectory of the motor vehicle; and displaying the composite image on the monitor.

Abstract: A computer-implemented method of alerting a driver of a vehicle is provided. The computer-implemented method includes obtaining a plurality of consecutive input images during a time interval using a three-dimensional depth camera, a respective one of the plurality of consecutive input images comprising a user sub-image and an object sub-image; deriving three-dimensional coordinates of user feature points in the user sub-image of the respective one of the plurality of consecutive input images using a first classifier; deriving three-dimensional coordinates of object feature points in the object sub-image of the respective one of the plurality of consecutive input images using the first classifier; and classifying user posture in the respective one of the plurality of consecutive input images by analyzing the three-dimensional coordinates of user feature points and the three-dimensional coordinates of object feature points using a second classifier.

Abstract: A vehicle control device is disclosed. The vehicle control device includes: an interface unit that is connected to a camera for capturing a vehicle passenger and to a plurality of devices installed inside the vehicle; and a processor that receives an image captured by the camera through the interface unit and exchanges information with the plurality of devices through the interface unit, wherein the processor detects the position of the passenger from the image acquired by the camera, configures a space adjacent to the passenger as a virtual control space, matches a device corresponding to the position of the passenger, among the plurality of devices, to the virtual control device, and, upon detecting a preset gesture through the virtual control space, controls the device based on the preset gesture.

Abstract: A system and method are described for providing an alert to a driver of a host vehicle. The system includes a communication unit to be mounted in the host vehicle and configured to receive a vehicle-to-x communication including data indicative of a characteristic of a second vehicle. The system also includes a controller to be mounted in the host vehicle and provided in communication with the communication unit. The controller is configured to provide an alert to the driver of the host vehicle based on data indicative of a characteristic of the host vehicle, the data indicative of a characteristic of the second vehicle, and map data for a geographic area associated with the host vehicle and the second vehicle.

Abstract: To display with a display mode with which an analyst may easily ascertain actions (movements) of objects being monitored, provided is an information processing device, including a sensing unit and a display control unit. The sensing unit classifies, based on information relating to movements of objects being monitored, a plurality of objects into set movement paths. The display control unit controls a display such that the movements of the objects are displayed in a display screen of the display with an arrow in each set movement path. The axis of the arrow which is displayed in the display has a thickness according to the number of objects which are classified in the corresponding movement path, has a shape according to the trace of the objects which are classified in the corresponding movement path, and furthermore, the direction indicated by the arrow represents the direction of progress of the objects.

Abstract: Embodiments of the present application provide a method, an apparatus, and a device for identifying a passenger state in an unmanned vehicle, and a storage medium. The method comprises: obtaining monitoring data of different dimensions in a process where the passenger takes the unmanned vehicle; performing feature extraction on the monitoring data of the different dimensions and forming feature data of different dimensions; and identifying the passenger state according to the feature data of the different dimensions. By obtaining the monitoring data of various dimensions in the process where the passenger takes the unmanned vehicle to identify the passenger state, it is possible to omnidirectionally monitor the personal is safety and property safety of the passengers, and effectively protect the passenger taking the unmanned vehicle.

Abstract: A method for detecting tailgating of subjects and/or objects at gates by measuring the occultation of a reference occulted by a subject and/or an object passing through the gate A time series based on the measured occultation is generated and a parameter from the generated time series is determined for characterization of the subject and/or the object passing through the gate.

Abstract: A method includes capturing object data using a data capture device of a vehicle, determining that the captured object data includes a relevant object based on a user profile associated with an occupant of the vehicle, and executing a notification at the vehicle indicating a presence of the relevant object in response to determining that the captured object data includes the relevant object.

Abstract: A movable carrier auxiliary system includes a sign detecting device including an image capturing module, a storage module, and an operation module. The image capturing module has at least two lenses having refractive power for capturing an environment image around a movable carrier. The storage module stores a plurality of sign models. The operation module is electrically connected to the image capturing module and the storage module. A processing method of the movable carrier auxiliary system includes steps of: detect whether the environment image has a sign image that matches at least one of the image models or not, and correspondingly generate a detection signal via the operation module, thereby to identify signs around the movable carrier.

Abstract: The server includes an infrastructure cooperation section determination unit that determines an infrastructure cooperation section indicating a range in which an in-vehicle device performs a cooperative operation with an infrastructure sensor and performs traveling support of the host vehicle, and transmits cooperative operation information for the in-vehicle device to start or stop the cooperative operation with the infrastructure sensor to the in-vehicle device based on the infrastructure cooperation section determined by the infrastructure cooperation section determination unit. The in-vehicle device sets or cancels the cooperative operation mode by the mode setting unit based on the cooperative operation information transmitted from the server.

Abstract: A vehicle occupant protection system includes an imaging device, an occupant monitoring apparatus, and an occupant protection apparatus. The imaging device is configured to capture an image of an occupant riding in a vehicle. The occupant monitoring apparatus is configured to monitor the occupant on the basis of the captured image outputted from the imaging device, and configured to, in a case where a riding state of the occupant in the vehicle is undeterminable on the basis of the captured image outputted from the imaging device, switch an imaging range of the captured image to be outputted from the imaging device. The occupant protection apparatus is configured to execute, on the basis of the monitoring by the occupant monitoring apparatus, protection control that is based on the occupant riding in the vehicle.

Abstract: A road condition status prediction method is performed by a server and includes obtaining historical road segment information, the historical road segment information including road condition statuses and classification events that are used to classify the road condition statuses, and the classification events being determined based on content of the classification events, and obtaining an occurrence probability of each of the classification events, based on the obtained historical road segment information. The road condition status prediction method further includes obtaining a conditional probability of each of the classification events in each of the road condition statuses, based on the obtained historical road segment information, and predicting a road condition status of a road segment, based on the obtained occurrence probability of each of the classification events and the obtained conditional probability of each of the classification events in each of the road condition statuses.

Abstract: A method for providing vehicle-trajectory information. The method includes a read-in task, in which at least one item of inertial information is read in that indicates at least one parameter of a movement of a vehicle during travel. In addition, the method includes an acquisition task, in which location information is acquired that indicates the position of the vehicle during the movement. In a last determination task, the vehicle-trajectory information is determined using the inertial information and the location information, the vehicle-trajectory information representing the movement of the vehicle at the position.

Abstract: An imaging abnormality diagnosis device includes one or more processors configured to: detect a lane line in an image of a road surface captured by a camera mounted on a vehicle; estimate a shape of a road on which the vehicle is traveling, based on an output of a detector mounted on the vehicle, the detector being other than the camera; and detect as a distorted area an area in the image where the shape of the road and a shape of the lane line do not coincide with each other.

Abstract: A method of recognizing an object, and a device therefor are provided. The method includes obtaining first sensing data from a first sensor that senses the object, obtaining second sensing data from a second sensor that senses the object, obtaining a first object recognition reliability for the object and a second object recognition reliability for the object respectively based on the first sensing data and the second sensing data, based on the first object recognition reliability and the second object recognition reliability, matching object information of the object recognized using the second sensing data to the first sensing data, and storing the matched object information in a database of one of the first sensor and the second sensor.

Abstract: A driving assist ECU acquires, based on an image, positions of at least two specific points of an object that are different in a lateral direction with respect to a vehicle traveling direction. The driving assist ECU also performs collision avoidance control for avoiding a collision with the object based on a movement track of the object obtained from a history of the positions of the specific points, and calculates, for each of the specific points, a movement direction of each of the specific points based on the history of the position of each of the specific points. The driving assist ECU then changes how to perform the collision avoidance control based on a difference between the movement directions at the respective specific points.

Abstract: A component discrimination apparatus includes: an image acquisition unit configured to acquire image-pickup data obtained by taking an image of a component using a camera; a dividing unit configured to divide the image-pickup data into first image-pickup data and second image-pickup data so that they respectively include at least one characteristic part of the component; a specification identifying unit configured to identify a specification of the characteristic part in the first image-pickup data using the first image-pickup data, thereby identifying a type of the component; and a specification correctness determination unit configured to perform, using the second image-pickup data, correctness determination of whether or not a specification of the characteristic part in the second image-pickup data is the same as a specification of the component of the type identified by the specification identifying unit.

Abstract: Systems and methods according to one or more embodiments are provided for classifying and counting objects that pass through monitored zones in a field of view of an imaging device. An imaging device receives a series of images of a target scene having at least one monitored zone. An image processor extracts a target line of image values from each image, and adds the target line to a first spatio-temporal image. An edge detector and a cluster analysis module analyzes the first spatio-temporal image to identify objects associated with the at least one zone. An object classifier classifies in object and stores tracking information.

Abstract: A vehicle includes a vehicle body, a wheel, a suspension system that supports the wheel relative to the vehicle body, a sensing system for determining an environmental condition ahead of the vehicle and a control system. The suspension system includes a primary actuator that transfers force between the wheel and the vehicle body, and a wheel hop damper that includes a moving mass and that transfers force between the wheel and the moving mass independent of the vehicle body to inhibit resonance of an unsprung mass formed by the wheel and a portion of the suspension system coupled thereto. The control system operates the primary actuator to provide additional secondary ride control when the wheel hop damper exceeds a capacity threshold. The control system changes the capacity threshold according to the environmental condition. The wheel hop damper may be a reaction mass actuator or a tuned mass damper.

Abstract: Techniques are disclosed for updating map data. The techniques may include detecting a traffic light in a first image, determining, based at least in part on the traffic light detected in the first image, a proposed three-dimensional position of the traffic light in a three-dimensional coordinate system associated with map data. The proposed three-dimensional position may then be projected into a second image to determine a two-dimensional position of the traffic light in the second image and the second image may be annotated, as an annotated image, with a proposed traffic light location indicator associated with the traffic light. The techniques further include causing a display to display the annotated image to a user, receiving user input associated with the annotated images, and updating, as updated map data, the map data to include a position of the traffic light in the map data based at least in part on the user input.

Abstract: In a vehicle surroundings recognition apparatus that recognizes a specific target around a vehicle from an image captured by an imaging unit, a shadow detection unit is configured to detect a shadow region based on a difference, between a plurality of elements constituting the image, in intensity of a specific color component included in colors represented by the plurality of elements and a difference in luminance between the plurality of elements, the shadow region being a region in the image in which a shadow is cast on a surface of the road. A feature point detection unit is configured to detect feature points in the image. A recognition unit is configured to recognize the target based on the shadow region detected by the shadow detection unit and a group of feature points detected by the feature point detection unit.