Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a navigational system for a host vehicle may include at least one processor programmed to: receive a stream of images captured by a camera onboard the host vehicle, wherein the captured images are representative of an environment surrounding the host vehicle; and receive an output of a LIDAR onboard the host vehicle, wherein the output of the LIDAR is representative of a plurality of laser reflections from at least a portion of the environment surrounding the host vehicle.

Abstract: A server jointly tracks states of multiple vehicles using measurements of satellite signals received at each vehicle and parameters of the probabilistic distribution of the state of each vehicle. The server fuse states and measurements into an augmented state of the multiple vehicles and an augmented measurement of the augmented state subject to augmented measurement noise defined by a non-diagonal covariance matrix with non-zero off-diagonal elements, each non-zero off-diagonal elements relating errors in the measurements of a pair of corresponding vehicles. The server executes a probabilistic filter updating the augmented state and fuses the state of at least some of the multiple vehicles with a corresponding portion of the updated augmented state.

Abstract: A map information correction apparatus includes a feature point priority determination unit that determines a priority for a feature point of own mobile object surrounding information. A feature pair priority determination unit gives, when there is one or more feature pairs, a priority to the feature pair, based on an own mobile object surrounding information priority of the feature pair and a map information priority of the feature pair. The feature pair is a pair of an own mobile object surrounding information feature point and a received map information feature point that correspond to each other. An error calculation unit calculates an error in the map information, based on a high-priority own mobile object surrounding information feature point and a high-priority map information feature point. A correction unit corrects the map information using the error.

Abstract: A method for determining a driving maneuver of a vehicle with a control unit includes receiving a measurement data relating to a traffic situation from a sensor, determining a current detection area of the sensor by evaluating the measurement data, and creating a sensor model based on the measurement data. An estimated detection area of the sensor from the measurement data is modelled through forward simulation based on a vehicle position of the vehicle. A change in the estimated detection area of the sensor due to a driving maneuver is determined along with the driving maneuver that causes an increase in the estimated detection area due to the sensor model.

Abstract: A tracking system for tracking an expanded state of an object is provided. The tracking system comprises at least one processor and a memory having instructions stored thereon that, when executed by the at least one processor, cause the tracking system to execute a probabilistic filter that iteratively tracks a belief on the expanded state of the object, wherein the belief is predicted using a motion model of the object and is further updated using a compound measurement model of the object. The compound measurement model includes multiple probabilistic distributions constrained to lie on a contour of the object with a predetermined relative geometrical mapping to the center of the object. Further, the tracking system tracks the expanded state of the object based on the updated belief on the expanded state.

Abstract: Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

Abstract: The present disclosure is directed to systems and methods avoiding collisions by monitoring the presence and alertness of a person in a vehicle. The alertness of that person may be monitored by identifying actions performed by that person when an automated driving assistant is used in a vehicle. Systems and method consistent with the present disclosure may monitor the alertness of a person that is located in a driving position of a vehicle according to criteria associated with particular individuals or with criteria associated with specific protocols. When a system or method consistent with the present disclosure identifies that a person is not alert, a corrective action may be initiated that reduces likelihood of a collision.

Abstract: A method for calculating a time to contact of an autonomous vehicle, the method comprising: obtaining a plurality of event data an image, wherein the event data is associated with a pixel associated with a change in light intensity; determining a reference signal frequency associated with a transmitted light; identifying a select event data from the plurality of event data, wherein the light frequency associated with the select event data is substantially the same as the reference signal frequency; determining an object based on the select event data, wherein the object is fully enclosed by a bounding box comprising coordinates of a rectangular border; calculating a distance between a set of coordinates of the bounding box closest to the autonomous vehicle and the autonomous vehicle; and calculating the time to contact between the set of coordinates of the bounding box and the autonomous vehicle.

Abstract: The present disclosure relates to the field of swarm intelligence and provides a multi-intelligent-agent cooperated transportation method and system as well as a computer readable storage medium.

Abstract: A system and a method for tracking an expanded state of an object including a kinematic state indicative of a position of the object and an extended state indicative of one or combination of a dimension and an orientation of the object is provided herein. The system comprises at least one sensor configured to probe a scene including a moving object with one or multiple signal transmissions to produce one or multiple measurements of the object per the transmission, and a processor configured to execute a probabilistic filter tracking a joint probability of the expanded state of the object estimated by a motion model of the object and a measurement model of the object, wherein the measurement model includes a center-truncated distribution having predetermined truncation intervals. The system further comprises an output interface configured to output the expanded state of the object.

Abstract: Techniques disclosed provide for enhanced V2X communications by defining information Elements (IE) for V2X messaging between V2X entities. For a transmitting vehicle that sends a V2X message to a receiving vehicle, these IEs are indicative of a detected vehicle model type detected by the transmitting vehicle of a detected vehicle; a pitch rate of the transmitting vehicle, a detected vehicle, or a detected object; a roll rate of the transmitting vehicle, a detected vehicle, or a detected object; a yaw rate of a detected vehicle, or a detected object; a pitch rate confidence; a roll rate confidence; an indication of whether a rear brake light of a detected vehicle is on; or an indication of whether a turning signal of a detected vehicle is on; or any combination thereof. With this information, the receiving vehicle is able to make more intelligent maneuvers than otherwise available through traditional V2X messaging.

Abstract: The present disclosure relates to a method for generating a panoramic surround view image of a vehicle, comprising: acquiring actual original images of external environment of a first part and a second part of the vehicle hinged to each other; processing the actual original images to obtain respective actual independent surround view images of the first part and the second part; obtaining coordinates of respective hinge points of the first part and the second part; determining matched feature point pairs in the actual independent surround view images of the first part and the second pan; calculating a distance between two points in each matched feature point pair accordingly, and taking matched feature point pairs with the distance less than a preset first threshold as a successfully matched feature point pairs; and taking a rotation angle corresponding to the maximum number of the successfully matched feature point pairs as a candidate rotation angle of the first part relative to the second part.

Abstract: A driving assistance apparatus in a vehicle, the driving assistance apparatus comprising an acquisition unit configured to acquire a location coordinate of a self-vehicle at a predetermined period of time, a specification unit configured, based on a plurality of the location coordinates acquired continuously by the acquisition unit, to specify a curved region of a road, and a registration unit configured to register the curved region specified by the specification unit in a database predetermined.

Abstract: A method and system of deploying, creating and certifying the “virtual presence” of a user at a location other than the actual location of the user that verifiably associates a power of attorney or agency contract and a “representing entity” to (1) establish the authority of a “representing entity” to act as if the user were physically present at the remote location, and (2) submit the “representing entity” to the jurisdiction of the remote location, even though the user is at a different location and only virtually “present” at the remote location. The representing entity could be an animate object or device located at the remote location, such as a robot, drone, or vehicle, or a “presence” that only exists electronically, commonly referred to as an “avatar.

Abstract: Provided imaging control apparatus effectively avoid image capturing competition in a scene in which a large number of infrared cameras capture images. The imaging control apparatus includes an image acquisition unit that acquires an infrared image generated by an infrared camera imaging reflected light of emitted infrared rays; and a control unit that controls a setting for the generation of the infrared image on the basis of a control parameter transmitted to another apparatus or received from another apparatus via a communication interface.

Abstract: A control device for a loading machine includes a measurement data acquisition unit that acquires measurement data of a measurement device mounted on the loading machine that includes working equipment, a target calculation unit that extracts, from the measurement data, loading target data being measurement data on a loading target on which excavated material excavated by the working equipment is loaded and calculates, based on the loading target data, height data indicating a height of an upper end portion of the loading target and distance data indicating a distance from the loading machine to the loading target, and a working equipment control unit that controls the working equipment based on the height data and the distance data.

Abstract: A driving support system executes a risk avoidance control for reducing a risk of collision with an object in front of a vehicle. A risk potential field represents a risk value as a function of position. An obstacle potential field is a risk potential field in which the risk value is maximum at a position of the object and decreases as a distance from the object increases. A vehicle center potential field is the risk potential field in which a valley of the risk value extends in a lane longitudinal direction from a position of the vehicle. A first risk potential field is the sum of the vehicle center potential field and the obstacle potential field. The driving support system executes a steering control such that the vehicle follows the first valley of the risk value represented by the first risk potential field.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for constructing and utilizing vehicle field-of-view (FOV) information. The FOV information can be utilized in connection with vehicle localization such as localization of an autonomous vehicle (AV), sensor data fusion, or the like. A customized computing machine can be provided that is configured to construct and utilize the FOV information. The customized computing machine can utilize the FOV information, and more specifically, FOV semantics data included therein to manage various data and execution patterns relating to processing performed in connection with operation of an AV such as, for example, data prefetch operations, reordering of sensor data input streams, and allocation of data processing among multiple processing cores.

Abstract: Systems and methods for controlling an autonomous vehicle are described. A trajectory planner module provides a first trajectory to a trajectory control module. The trajectory control module determines parameters of the first trajectory. The trajectory control module compares the parameters to a respective threshold value. The trajectory control module obtains one or more alternative trajectories, determines parameters of each alternative trajectory, and compares the parameters of the alternative trajectory to a respective threshold value. The trajectory control module selects a trajectory for controlling the autonomous vehicle that has parameters which are within a range defined by the threshold values and controls the autonomous vehicle based on the selected trajectory. Thus, before handing back control to a driver, the trajectory control module selects from alternate trajectories for controlling the autonomous vehicle.

Abstract: A self-position estimation device equipped to a vehicle: captures an image of a periphery of the vehicle; detects a state quantity of the vehicle; acquires position information indicating a position of the vehicle from a satellite system; stores map data that defines a map in which a road is expressed by a link and a node; estimate a self-position of the vehicle on the map, as an estimation position, based on the captured image, the state quantity, the position information, and the map data, respectively; recognizes a road section in which a lane quantity increases or decreases based on the captured image; and sets a weighting of the estimation position of the vehicle estimated based on the map data relatively smaller in response to a recognition of the road section in which the lane quantity increases or decreases.

Abstract: An aviation radio frequency database and radio frequency control system to automate the retrieval of radio frequencies and tuning of an aircraft radio includes a portable electronic device intended to relieve pilots of retrieving radio frequencies manually from maps, notes and directories eliminates the manual switching of frequencies on radios and other electronic devices replacing these procedures with a direct wireless link from a controlling device to the radio or other electronic device. The application of the invention is not limited to aviation but can be utilized in any utility scenario where operation calls for parameter changes, the object is conserving time and human effort, and raising standards of accuracy and system integrity. Remote control of onboard radio and other controllable electronics is achieved both by delivery of control codes and by use of a voice-to-text application.

Abstract: Techniques and systems are disclosed for using swept volume profile data cached in association with a PRM to improve various aspects of motion planning for a robot. In some implementations, a first probabilistic road map representing possible paths to be travelled by a robot within a physical area is generated. An initial path for the robot within the first probabilistic road map is determined. Data indicating a second probabilistic road map representing a path to be travelled by a movable object within the physical area is obtained. A potential obstruction associated with one or more edges included in the subset of edges is detected. An adjusted path for the robot within the first probabilistic road map is then determined based on the potential obstruction.

Abstract: An online concierge system receives an order from a customer. The online concierge system transmits a notification to the customer's client device indicating that the order is ready for pick up and receives location data from the customer's client device as the customer travels to a pickup location. In response to the online concierge system receiving a first indication that the customer has entered an outer geofence, the online concierge system transmits a second notification to a runner's client device that the customer is in transit. In response to the online concierge system receiving a second indication that the customer has entered an inner geofence, the online concierge system starts a timer. When the online system receives a confirmation that the order has been picked up by the customer, it stops the timer and computes a wait time for pick up of the order.

Abstract: Systems, computer program products, and methods are described herein for centralized resource transformation engine within a technical environment.

Abstract: Described are a mechanical scanning unit (32) of an optical transmission and receiving device of an optical detection apparatus of a vehicle, an optical transmission and receiving device, an optical detection apparatus, a driver assistance device and a vehicle. The scanning unit (32) comprises at least one first beam influencing device (42) for deflecting at least one light beam (38), which has been radiated into the scanning unit (32), in a first direction (y) and at least one second beam influencing device (44) for changing a beam propagation of the at least one light beam (38) in a second direction (z). The at least one second beam influencing device (44) is arranged in the beam path of the at least one light beam (38) downstream of the at least one first beam influencing device (42). The first direction (y) and the second direction (z) extend perpendicularly or at an angle with respect to one another.

Abstract: The present disclosure discloses a method for monitoring driving behavior risk degree, including: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: A data collector collects device data obtained from a device that is placed, for example, at a home, a workplace or the like. A distribution data generator adds ancillary information (for example, a time, a unit, precision, a resolution, a content of processing, a manufacturer, a model number or the like) to the device data collected by the data collector, thereby generating distribution data. A data provider provides, to an outside, (for example, to a data usage server), the distribution data generated by the distribution data generator.

Abstract: A method for risk based processing, the method may include detecting, based on first sensed information sensed at a first period, a suspected risk within an environment of a vehicle; selecting, from reference information, a situation related subset of the reference information, wherein the situation related subset of the reference information is related to the situation; selecting, from reference information, a suspected risk related subset reference information, wherein the potential risk related subset of the reference information is related to the potential risk; and determining whether the suspected risk is an actual risk, based at least on part on the suspected risk related subset reference information.

Abstract: Autonomous vehicle operation with explicit occlusion reasoning may include traversing, by a vehicle, a vehicle transporation network. Traversing the vehicle transportation network can include receiving, from a sensor of the vehicle, sensor data for a portion of a vehicle operational environment, determining, using the sensor data, a visibility grid comprising coordinates forming an unobserved region within a defined distance from the vehicle, computing a probability of a presence of an external object within the unobserved region by comparing the visibility grid to a map (e.g., a high-definition map), and traversing a portion of the vehicle transportation network using the probability. An apparatus and a vehicle are also described.

Abstract: The control device for forward collision avoidance in a vehicle includes a forward object determination unit configured to recognize an object in front of the vehicle and to determine an attribute of the recognized object, a gear position detection unit configured to detect a gear position of the vehicle, and a forward collision-avoidance assist (FCA) control unit configured to finally determine the attribute of the object determined by the forward object determination unit according to the gear position input from the gear position detection unit and to set an FCA control range based on the finally determined object attribute.

Abstract: A safety confirmation support system includes: a moving object detector which detects a moving object in each of detection regions set around the vehicle; display units each associated with a different one of the detection regions; a line-of-sight detector which detects a line of sight of the driver; and a display controller which controls the display units based on detection results from the moving object detector and the line-of-sight detector. When the moving object is detected in a specified detection region, the display controller (i) displays moving object information on a specified display unit associated with the specified detection region when the line of sight is away from the specified detection region, and (ii) stops display of the moving object information on the specified display unit when the line of sight is towards the specified detection region while the moving object information is displayed on the specified display unit.

Abstract: Triangulation is applied, by a method and a device, to determine a scene point location in a global coordinate system, GCS, based on location coordinates for observed image points in plural views of a scene, and global-local transformation matrices for the views. The local coordinates are given in local coordinate systems, LCSs, arranged to define distance coordinate axes that are perpendicular to image planes of the views. The scene point location is determined by minimizing a plurality of differences between first and second estimates of the scene point location in the LCSs, the first estimates being given by linear scaling of the location coordinates, and the second estimate being given by operating the transformation matrices on the scene point location. An improved robustness to observation errors is achieved by defining the plurality of differences to penalize differences that includes the linear scaling as applied along the distance coordinate axes.

Abstract: A probabilistic system for tracking a state of a vehicle using unsynchronized cooperation of information includes a probabilistic multi-head measurement model relating incoming measurements with the state of the vehicle. The first head of the model relates measurements of the satellite signals subject to measurement noise with a belief on the state of the vehicle, and a second head relates an estimation of the state of the vehicle subject to estimation noise with the belief on the state of the vehicle. A probabilistic filter of the system updates recursively the belief on the state of the vehicle based on the multi-head measurement model accepting one or a combination of the measurements of the satellite signals subject to the measurement noise and the estimation of the state of the vehicle subject to the estimation noise.

Abstract: System and methods are provided for predicting, reacting to, and avoiding loss of traction events, such as hydroplaning for autonomous vehicles. For example, the method predicts a risk of an area being subject to hydroplaning using real-time data and/or historical data. The method may store possible hydroplaning events in a geographic map along with a risk assessment. The method provides lane level hydroplaning risk predictions and avoidance mechanisms.

Abstract: A vehicle control device includes a recognizer configured to recognize a surrounding environment of a vehicle including a moving object present around the vehicle and a controller configured to control at least one of a speed and steering of the vehicle. The controller restricts access to the moving object when the moving object is rotating around a vertical axis at a speed greater than or equal to a threshold value so that a front surface of the moving object recognized by the recognizer faces a position interfering with a position in a traveling direction of the vehicle as compared with when the moving object is not rotating.

Abstract: A system for managing a time reference includes a real-time clock, an interface, and a processor. The real-time clock store an RTC time. The interface is configured to receive a GPS time and a cellular time. The processor is configured to: indicate to start a time-speed adjustment loop; determine a true time based at least in part on the GPS time and the cellular time; determine an error between the true time and the RTC time; determine an RTC speed calibration adjustment based at least in part on the error; and adjust the real-time clock speed based at least in part on the RTC speed calibration adjustment.

Abstract: A method for evaluating an infection risk includes calculating a first infection risk value, which indicates a degree of an infection risk that a child is infected with an infectious disease, on the basis of infection information regarding family members, prevalence information regarding the infectious disease in organizations to which the family members belong, and one or more first infection risk coefficients, calculating, on the basis of the first infection risk value, a second infection risk value, which indicates a degree of the child's infection risk of being infected in a group at a children's facility, and performing first evaluation, in which the infection risk that the child is infected is evaluated on the basis of the first infection risk value, and second evaluation, in which the child's infection risk of being infected in the group is evaluated on the basis of the second infection risk value.

Abstract: A vehicle hatch clearance determining system includes a plurality of cameras disposed at the vehicle and a control having a processor for processing image data captured by the cameras. During a parking event, and responsive to processing of captured image data, the system detects objects, gathers information pertaining to detected objects exterior the vehicle and generates an environmental model based at least in part on the gathered information. With the vehicle parked, the system determines location of the vehicle relative to at least one detected object of the environmental model and determines if the model includes an object in a region that would be swept by a hatch of the parked vehicle when the hatch is being opened or closed. Responsive to determination that the object is in the region that would be swept by the hatch, the system stops movement of the hatch to avoid impact with the object.

Abstract: According to an aspect of an embodiment, operations may comprise receiving, from a LIDAR mounted on a vehicle, a first 3D point cloud comprising points of a region around the vehicle as observed by the LIDAR. The operations may also comprise accessing an HD map comprising a second 3D point cloud comprising points of the region around the vehicle. The operations may also comprise segmenting LIDAR ground points from LIDAR non-ground points in the first 3D point cloud. The operations may also comprise segmenting map ground points from map non-ground points in the second 3D point cloud. The operations may also comprise determining a pose of the vehicle by matching the LIDAR ground points to the map ground points and by matching the LIDAR non-ground points to the map non-ground points.

Abstract: A system for delivering articles (34) from a start point (54) to a destination point (56), having at least one drone (20), which a) has a flight control unit (22) configured for autonomous flying, b) has at least one flight motor realized as an electric motor (24), c) has a battery (28) that supplies the flight motor with voltage, d) has a programmable control (30) unit, and e) on its underside has a coupling (34) for electrical, and preferably also mechanical, connection, having a control center (50), which is wirelessly connected to the control unit (30) of the drone (20), having a mobility network consisting of a fleet of vehicles (44), in particular road vehicles, each vehicle having a drone carrier (40), which has a mating coupling (38) that acts in combination with the coupling (36), and having a digital mobility platform (46), which is wirelessly connected to the fleet of vehicles (44) and which is informed about their travel schedules, drone carriers (40) and current locations of the vehicles (44), an

Abstract: Methods and systems for transmitting location updates include determining a deviation distance, based on an extrapolated travel direction and an actual travel direction from a last updated location. It is determined that the deviation distance exceeds a deviation threshold. A location update is transmitted to a tracking server, responsive to the determination that the deviation distance exceeds the deviation threshold.

Abstract: An anomaly detection server is provided. The anomaly detection server is a server for counteracting an anomalous frame transmitted on an on-board network of a single vehicle. The anomaly detection server acquires information about multiple frames received on one or multiple on-board networks of one or multiple vehicles, including the single vehicle. The anomaly detection server, acting as an assessment unit that, based on the information about the multiple frames and information about a frame received on the on-board network of the single vehicle after the acquisition of the information about the multiple frames, assesses an anomaly level of the frame received on the on-board network of the single vehicle.

Abstract: An electronic device attachable to a vehicle, according to various embodiments of the present invention, comprises: a communication interface; a memory for storing instructions; and at least one processor connected to the communication interface and the memory, wherein the at least one processor can be configured so as to execute the stored instructions in order to: acquire, from another device embedded in the vehicle, information on a plurality of objects located within a designated distance from the vehicle; identify, among the plurality of objects, a designated object located within a designated distance from the vehicle; generate configuration information of at least one piece of content to be displayed through a head-up display (HUD), on the basis of a state of the designated object; and display, through the HUD, content for guiding the operation of the vehicle, on the basis of the generated configuration information.

Abstract: A train control apparatus includes a setting reception unit that receives setting information regarding a temporary speed limit section and a speed limit. A control unit generates temporary speed limit information for the trains. A communication unit transmits the temporary speed limit information to the trains. If information regarding all temporary speed limit sections cannot be included in the temporary speed limit information, the control unit includes, in the temporary speed limit information, information regarding a specified number of temporary speed limit sections located on a traveling direction side, and changes a speed limit in one or more temporary speed limit sections included in the temporary speed limit information on the basis of a speed limit set in a temporary speed limit section that is adjacent to a temporary speed limit section included in the temporary speed limit information, and is not included in the temporary speed limit information.

Abstract: A method, system and computer program product for determining a map position of an ego-vehicle are disclosed. The method includes acquiring map data comprising a road geometry, initializing at least one dynamic landmark by measuring a position and velocity, relative to the ego-vehicle, of a surrounding vehicle, and determining a first map position of the surrounding vehicle based on this measurement and the geographical position of the ego-vehicle. Further, the method includes predicting a second map position of the surrounding vehicle, and measuring a location, relative to the ego-vehicle, of the surrounding vehicle when it is estimated to be at the second map position, whereby the geographical position of the ego-vehicle can be computed and updated.

Abstract: The described technology is generally directed towards quasi-listing table entries that facilitate the efficient return of an object list in response to a query for relevant objects in a data storage system. A quasi-listing table entry is created when an object is created, and subsequently converted to a normal listing table entry. A normal listing table entry is converted to a quasi-listing table entry when an object is deleted, with the quasi-listing table entry subsequently deleted. When an object list request is received, a normal listing table entry can be used directly to add to the object list; only if a quasi-listing table entry is encountered (before it can be converted or deleted) does the object table need to be accessed to determine if the object actually exists. This eliminates most object table accesses, including those in remote geographic zones, thereby making object listing significantly more efficient.

Abstract: A method includes transmitting a ride-share request to a ride-share server, the ride-share request including information about an accessibility device, determining a present orientation of the accessibility device, and transmitting the present orientation of the accessibility device to the ride-share vehicle. Another method includes transmitting a present orientation of an accessibility device, receiving a target orientation of the accessibility device, illuminating a light projector, determining that the accessibility device is in the target orientation, and turning off the light projector.

Abstract: Embeddings of spherical triangles onto a planar surface permit locations on a sphere to be represented as cells on the planar surface. Embeddings can define paths based on one or more sets of great circles on the sphere which can in turn be based on rotations of an icosahedron about various axes. Distances between locations as well as locations themselves can be determined as integer values unlike conventional latitude/longitude based systems that require floating point arithmetic. Some locations correspond to cells on different paths defined by one or more sets of great circles. Distance between two locations can be estimated as a minimum of distances associated with the cell locations on the different paths. Methods for processing data defined with respect to an origin point in three-dimensional space include establishing a set of concentric spherical shells with the origin point as their origin and establishing a discrete global grid on each of the concentric spherical shells.

Abstract: A sensor data processing system for an autonomous vehicle receives inertial measurement unit (IMU) data from one or more IMUs of the autonomous vehicle. Based at least in part on the IMU data, the system identifies an IMU data offset from a deficient IMU of the one or more IMUs, and generates an offset compensation transform to compensate for the IMU data offset from the deficient IMU. The system dynamically executes the offset compensation transform on the IMU data from the deficient IMU to dynamically compensate for the IMU data offset.

Abstract: A control device detects a first vehicle traveling in front of an own vehicle using a front looking radar device, and detects a second vehicle which is predicted to cut in between the own vehicle and the first vehicle using the front looking radar device and/or front-side looking radar devices. The control device calculates a first target acceleration required for the own vehicle to maintain an inter-vehicle distance between the own vehicle and the first vehicle at a first set inter-vehicle distance; and calculates a second target acceleration required for the own vehicle to maintain an inter-vehicle distance between the own vehicle and the second vehicle at a second set inter-vehicle distance. The control device selects either the first target acceleration or the second target acceleration and controls the own vehicle in such a manner that an actual acceleration of the own vehicle becomes closer to the mediated target acceleration.