Abstract: A vehicle can capture data that can be converted into a synthetic scenario for use in a simulator. Objects can be identified in the data and attribute data associated with the objects can be determined. Updated attribute data may be determined based on confidence values and/or distance measurements associated with the attribute data. The object and attribute data may be used to generate synthetic scenarios of a simulated environment, including simulated objects that traverse the environment and perform actions based on the attribute data associated with the simulated objects, the captured data, and/or interactions within the simulated environment. The scenarios can be used for testing and validating interactions and responses of a vehicle controller within the simulated environment.

Abstract: Methods and apparatus forming part of a vehicle sensor system (100) comprising a plurality of sensor units (104a-f) and a controller (102). A sensor unit comprises: a motion sensor (417) configured to determine a first speed of the sensor unit; and a transmitter (402) configured to transmit first identification data to the controller if the first speed of the sensor unit exceeds a first threshold. The motion sensor is further configured to determine a second speed of the sensor unit a period of time after determination of the first speed of the sensor unit, and the transmitter is configured to transmit to the controller second identification data if the second speed of the sensor unit exceeds a second threshold.

Abstract: A system of a first vehicle includes sensors and a processor that performs generating of an initial trajectory along a travel route of the first vehicle, acquiring trajectories of second vehicles along the route, adjusting the initial trajectory based on the acquired trajectories of the second vehicles, and navigating the first vehicle based on the adjusted initial trajectory.

Abstract: A system and method for determining an absolute position of an object in an area is presented. The system includes a server having a processor, and a plurality of camera nodes coupled to the server. Each node includes a camera that acquires images of the object and area. The server receives image data from a camera, detects the object within an approximate location by image analysis techniques, and determines a relative position of the object in pixel coordinates. The processor then detects stationary markers proximate to the relative location of the object, determines an absolute position of the detected markers relative to known markers to define an absolute position of the marker, and determines an absolute location of the object in relation to the absolute location of the detected marker. This absolute position of the object is provided to an official to accurately locate the object in the area.

Abstract: A driving assistance system (1) is provided with a driving assistance device (10) mounted in a mobile body (31), and a map transmission device (20) mounted in a peripheral body such as a road side apparatus (33) or a mobile body (32) which is present on the periphery of the mobile body. The driving assistance device (10) transmits request data according to a moving speed of the mobile body to the peripheral body. The map transmission device (20) transmits an obstacle map indicating an obstacle within a range according to the request data transmitted by the driving assistance device (10), to the mobile body (31) as an external map. The driving assistance device (10) receives the external map transmitted by the map transmission device (20).

Abstract: A through the road (TTR) hybridization strategy is proposed to facilitate introduction of hybrid electric vehicle technology in a significant portion of current and expected trucking fleets. In some cases, the technologies can be retrofitted onto an existing vehicle (e.g., a truck, a tractor unit, a trailer, a tractor-trailer configuration, at a tandem, etc.). In some cases, the technologies can be built into new vehicles. In some cases, one vehicle may be built or retrofitted to operate in tandem with another and provide the hybridization benefits contemplated herein. By supplementing motive forces delivered through a primary drivetrain and fuel-fed engine with supplemental torque delivered at one or more electrically-powered drive axles, improvements in overall fuel efficiency and performance may be delivered, typically without significant redesign of existing components and systems that have been proven in the trucking industry.

Abstract: Various embodiments include a sensor data system for a vehicle, the system comprising: a sensor in the vehicle, the sensor configured to collect environment data; a communication device configured to receive second environment model data from another vehicle; and a processing unit. The processing unit is configured to: calculate a first localization position of at least one of the vehicle or an object in the environment of the vehicle; generate first environment model data based at least in part on the environment data collected, wherein the first environmental model data and the second environment model data both contain localization data; compare the first localization data with the second localization data; and from the comparison determine a correction to the first localization position.

Abstract: A cooperative adaptive cruise control (CACC) system acquires a driving pattern of a target vehicle and variably provides an inter-vehicle distance and a responsible speed level of a subject vehicle that are followed by the CACC system based on the driving pattern. The CACC system includes a communication unit receiving vehicle information and road information of a region in which the subject vehicle travels; an information collection unit collecting driving information of a forward vehicle, vehicle information of the subject vehicle, and the road information; and a control unit controlling the inter-vehicle distance and the responsible speed level of the CACC system based on the driving pattern of the target vehicle according to generated control information.

Abstract: A communication control device includes an acquisition part configured to acquire vehicle information, which is information related to a vehicle and which is to be transmitted to an external device outside the vehicle from one or more on-vehicle instrument mounted on the vehicle, a determination part configured to determine a first communication priority level of the vehicle information on the basis of at least the vehicle information acquired by the acquisition part for each vehicle information, a first controller configured to cause a communication part to transmit information showing the first communication priority level determined by the determination part to a radio base station to which the communication part accesses to communicate with the external device, and a second controller configured to cause the communication part to perform communication of the vehicle information with the radio base station with a second communication priority level received from the radio base station.

Abstract: An embodiment takes the form of a prediction system that obtains a respective indicated similarity of trajectories in each of a plurality of combinations of observed vehicle trajectories. The prediction system, for each of the combinations, calculates a distance between respective intermediate representations, generated by a neural network, of the trajectories in the combination, and performs a training of the neural network based on a calculated loss between the distance and the indicated similarity of the trajectories in the combination. The respective calculated losses converge after performing respective trainings for the combinations.

Abstract: The technology involves determining a minimum lateral gap distance between a vehicle configured for autonomous driving and one or more other objects in the vehicle's environment. The minimum lateral gap is used when determining whether to have a driver take over control of certain driving operations. This provides a measure of safety during disengagements or other change of control events. Determining the minimum lateral gap includes calculating a budgeted distance based on a cross-track error for a lateral position of the vehicle, an allowed actual gap distance to an object in the vehicle's environment, and a perception error associated with a location of the object in the vehicle's environment. This determination can be done for a set of possible operating speeds and steering rate limit combinations. The vehicle's control system may notify the driver to take control, for instance with audible, visual and/or haptic notifications.

Abstract: A CAN communication protocol system for exchanging fuel consumption-optimizing and/or operating fluid consumption-optimizing and noise-optimizing messages between drive components and output components, which also help to increase the overall availability of the system, and method. Described is also a CAN communication protocol system for an internal combustion engine for exchanging fuel consumption-optimizing and/or operating fluid consumption-optimizing and noise-optimizing messages between drive components and output components, which also help to increase the overall availability of the system.

Abstract: A method is provided for transmitting data in a system for determining a location of at least one industrial truck comprising a mobile radio station and positioned in an area having a plurality of stationary radio stations. The method comprises transmitting a position-determining signal from the mobile radio station to the plurality of stationary radio stations. The position-determining signal is received and a position signal is transmitted from the plurality of stationary radio stations to the mobile radio station. Additional data is appended to at least one of the position-determining signal and the position signal and is evaluated. A current vehicle position is then determined from at least three received position signals.

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: An other-vehicle action prediction method predicts that another vehicle traveling in an adjacent lane adjacent to an own lane in which a host vehicle is traveling makes a lane change from the adjacent lane to the own lane in front of the host vehicle in accordance with the behavior of the other vehicle. The other-vehicle action prediction method acquires traffic regulation information on a traffic regulation regarding the adjacent lane, predicts a predicted traveling state of the other vehicle when traveling according to the traffic regulation, calculates a recognition possibility that the other vehicle recognizes the traffic regulation, and predicts that the other vehicle makes a lane change in accordance with the recognition possibility, the predicted traveling state, and the actual traveling state.

Abstract: Systems and methods for providing a real time visualization of scattered radiation in a medical facility are provided. A number of visualization devices such as augmented reality (“AR”) tracking devices, electronic displays, or projection devices are in electronic communication with a controller and configured to display a visualization of scattered radiation. Position data is received from the position sensors associated with individuals in the medical facility, the AR tracking devices, radiation producing medical equipment, or radiation scattering medical equipment, and the visualization is adjusted accordingly.

Abstract: A machine learning device training a learning model unique to a vehicle is provided with: a processor configured to use training data sets including values of state parameters detected by detectors provided at the vehicle, to train the learning model; and if an abnormality occurs in values of a state parameter detected by a detector, acquire values of the state parameter, where an abnormality has occurred, detected by another vehicle under conditions matching detection conditions when the values of the state parameter included in the training data sets were detected by the detector. If an abnormality occurs in values of the state parameter detected by the detector, the training part uses training data sets including values acquired from another vehicle by the parameter value acquiring part, instead of the values of the state parameter where an abnormality has occurred detected by the detector, to train the leaning model.

Abstract: System, methods, and other embodiments described herein relate to selectively intervening in manual control of a vehicle by a driver. In one embodiment, a method includes predicting a future state of the vehicle according to at least a current state and a control input. The current state defines at least one attribute of a current trajectory of the vehicle, and the control input defines at least one driver input for controlling the vehicle. The method includes comparing the future state with a state constraint indicating a range within which a target path of the vehicle is acceptable. The target path defines a subsequent trajectory for the vehicle. The method includes selectively modifying the target path according to whether the future state violates the state constraint. The method includes controlling the vehicle according to the target path.

Abstract: Various implementations described herein generate training instances that each include corresponding training instance input that is based on corresponding sensor data of a corresponding autonomous vehicle, and that include corresponding training instance output that is based on corresponding sensor data of a corresponding additional vehicle, where the corresponding additional vehicle is captured at least in part by the corresponding sensor data of the corresponding autonomous vehicle. Various implementations train a machine learning model based on such training instances. Once trained, the machine learning model can enable processing, using the machine learning model, of sensor data from a given autonomous vehicle to predict one or more properties of a given additional vehicle that is captured at least in part by the sensor data.

Abstract: A system for keeping an automated-taxi clean includes a perception-sensor, a communication-device, and a controller-circuit. The perception-sensor is operable to detect an object aboard an automated-taxi. The communication-device is operable to communicate with a present-client of the automated-taxi. The controller-circuit is in communication with the perception-sensor and the communication-device. The controller-circuit is configured to determine that the object was left by a prior-client of the automated-taxi, and operate the communication-device to convey to the present-client a cleaning-request to remove the object from the automated-taxi.

Abstract: Methods and apparatus relating to a physics-based approach for attack detection and/or localization in closed-loop controls for autonomous vehicles are described. In an embodiment, multiple state estimators are used to compute a set of residuals to detect, classify, and/or localize attacks. This allows for determination of an attacker's location and the kind of attack being perpetrated. Other embodiments are also disclosed and claimed.

Abstract: A device and a method for warning a driver of a vehicle. The vehicle includes one or multiple surroundings sensor(s) that detect objects in the vehicle surroundings, and an evaluation device is provided in which a surroundings model is created from the object detections by the one or multiple surroundings sensor(s). Also provided is an actuator system that informs the driver of recognized objects of the surroundings model, in that the actuator system for informing the driver contains a piece of spatial warning information, and the driver is haptically informed of the position of the object.

Abstract: A status monitoring system and the devices used for the status monitoring system is disclosed. The status monitoring system includes a controller device, a plurality of rod monitoring devices, and a motor monitoring device which works together to provide a layered approach to securing the boat. The controller device is configured to communicate with a smart device via cellular network. The controller device triggers an alert once it detects unexpected events on the boat or receives intrusion notifications from other devices in the status monitoring system. Unexpected events can include the boat moving out of the geofence, boat vibration, and unexpected starting of the vehicle. A method for monitoring the status of the boat is also disclosed. The method can include receiving an activation signal, receiving a GPS signal, receiving vibration signals, energizing the siren and transmitting notification and boat location to the cloud when detecting at least one trigger.

Abstract: A method is described for updating a digital map for vehicle navigation. The method includes a step of determining an adjustment signal for adjusting a detection range of an environment sensor of a vehicle to a section of an environment of the vehicle that corresponds to an area of the digital map to be updated, using an item of information about the area to be updated, and the method including a step of supplying area data for updating the digital map, the area data representing an image of the section of the environment detected by the environment sensor.

Abstract: A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred route based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation; configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or the allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.

Abstract: A service controller includes a network interface for coupling to a local area network of a hospitality establishment, and one or more processors coupled to the network interface. The one or more processors are configured to detect a device identifier of a user device on a local area network of a hospitality establishment, determine whether a guest of the hospitality establishment is associated with the device identifier, and automatically activate a service for the user device at the hospitality establishment in response to detecting the device identifier on the local area network when a guest of the hospitality establishment is determined to be associated with the device identifier.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method may include: acquiring point cloud data and image data collected by a vehicle during a driving process; determining a plurality of time thresholds based on a preset time threshold value range; executing following processing for each time threshold: identifying obstacles included in each point cloud frame and each image frame respectively; determining a similarity between the obstacles; determining, in response to the similarity being greater than a preset similarity threshold, whether a time interval between the point cloud frame and the image frame corresponding to two similar obstacles is less than the time threshold; and processing recognized obstacles based on a determining result, to determine the number of obstacles; and determining, based on a plurality of numbers, and outputting a target time threshold.

Abstract: Systems and methods are disclosed herein for determining a location of a device, for example, by receiving, from a client device, a rendering of an image captured by the client device. The systems and methods compare the received rendering to entries in a database of renderings, each respective entry including a respective rendering and a respective associated location, and determine, from the comparing whether the received rendering matches a respective rendering included in a respective entry in the database of renderings. The systems and methods, in response to determining that the received rendering matches the respective rendering included in the respective entry, determine the location associated with the matching rendering, and transmit the location to the client device.

Abstract: A specific area detection device that detects a specific area in an imaging area based on a captured image includes: an estimation unit configured to estimate a plurality of points and a direction of a straight line connecting two predetermined points among the plurality of points from a captured image using a learning model created by learning about a specific area defined by a predetermined number of the points in an imaging area using a captured image for learning; and a detection unit configured to detect the specific area by classifying the plurality of points for each specific area based on the direction.

Abstract: Systems, devices and methods for managing mobile assets at a worksite. A system computer creates a geofence relating to the geolocation of a first communication device disposed in a first mobile asset, the data points of the geofence periodically updated according to the geolocation of the first communication device such that changes in the geolocation of the first communication device are proportionally reflected in the updated geolocation of the datapoints of the geofence. The cycle time of a second communication device disposed in a second mobile asset can be determined by determining the amount of time lapsed after the second communication device triggers the geofence. Various triggering events are described. Various shapes of the geofence are described to avoid unintended triggers of the geofence by assets, including polygonal shapes.

Abstract: A method for detecting a steering engagement by a driver in a vehicle without a steering wheel sensor system, in which at least one steering sensor associated with a steering system of the vehicle, which sensor is associated either with the steering wheel or with a steering linkage of the vehicle, is used to capture a first application of force into the steering system of the vehicle, in which at least one chassis sensor associated with at least one chassis component of the vehicle is used to capture a second application of force onto the at least one chassis component.

Abstract: Disclosed is a method, system, and non-transitory computer-readable storage medium for providing a pickup location. The pickup service method executable on a computer system, including displaying, by the at least one processor, one or more pickup candidate locations corresponding to a location associated with a user of an electronic device, on a map screen including the location, providing, by the at least one processor, guidance information on a pickup candidate location, which is selected by the user from among the one or more pickup candidate locations, on the map screen, and transmitting, by the at least one processor to a server, a pickup request including a final pickup candidate location that is selected by the user from among the one or more pickup candidate locations displayed on the map screen as a pickup location may be provided.

Abstract: A controller of an autonomous vehicle receives a travel itinerary of a passenger and an airport map. The controller then uses the airport map to arrive at a terminal corresponding to the passenger's travel itinerary. Upon arrival at the terminal the controller communicates with parked vehicles (V2V) or infrastructure to identify an unoccupied parking spot and then autonomously parks. When picking up a passenger, the controller determines whether the passenger has checked luggage and adjusts and arrival time accordingly and may account for the storage volume of the luggage. The controller may also loop a circuit at the airport where a wait time has been exceeded. In some embodiments, augmented reality may be used to help the passenger identify the vehicle.

Abstract: A method for determining a location of an electronic device using bilateration is disclosed. The electronic device receives a plurality of signals emitted from a plurality of transmitting devices within a vicinity of the electronic device. A signal quality is determined for the plurality of signals that are received based on 1) a received signal strength indicator or 2) a received signal power and a received signal gain, and signal propagation characteristics based on transmitting device information that comprise manufacturer and type of transmitting device. At least two of the plurality of signals are designated as having highest signal quality by combining the signal propagation characteristics with either 1) the received signal strength indicator or 2) the received signal power and the received signal gain. A distance that the electronic device is from the transmitting devices is determined using the two highest signal quality signals for locating the electronic device.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to collect at least one set of data with a first Doppler sensor, each set of data including a radial distance, an azimuth angle and a range rate between the first Doppler sensor and a target, collect at least one set of data with a second Doppler sensor, determine that the collected sets of data include a first, second, and third set, determine respective radial components of a ground velocity of the target based on the first, second and third sets of data a position on a host vehicle of the respective Doppler sensor that collected the sets of data, and determine a linear velocity of the target and a yaw rate of the target based on the radial components of the ground velocity of the target.

Abstract: A technique for detecting the occurrence of an event, and for estimating other event-related information, by analyzing the barometric pressure in the vicinity of one or more wireless terminals. The disclosed detection technique is based on the recognition that the barometric sensor on various wireless terminals, such as smartphones, is capable of measuring very subtle changes in the atmospheric pressure. The disclosed detection technique is also based on the additional recognition of how some of the changes in the atmospheric pressure, as measured by a wireless terminal, correlate to various events that occur within a building or other defined area. For example, the disclosed technique can detect an entry door opening or closing by analyzing a resultant pressure wave having a particular transient that is perceptible by one or more wireless terminals in the area and analyzed by a detection engine.

Abstract: Embodiments create the present method, communication module, vehicle, system, and computer program for authenticating a mobile radio device for a location-specific function of a vehicle. The vehicle comprises a transmitter designed for transmitting mobile radio signals in a mobile radio system and a receiver designed for receiving mobile radio signals in a mobile radio system. Furthermore, a control module designed for controlling the transmitter and the receiver is provided, said control module being coupled to the transmitter and the receiver, and the control module is additionally designed to convert the transmitter from a first mode to a second mode when the vehicle is parked. The transmitter consumes less energy in the second mode than in the first mode. Furthermore, a received mobile radio signal of the mobile radio device is evaluated, said signal comprising information on the identity of the mobile radio device.

Abstract: A collision avoidance assistance device includes a road shape recognition unit that recognizes a road shape of a traveling road, a path estimation unit that estimates a path of the host vehicle based on the road shape, an obstacle situation recognition unit recognizes an obstacle situation surrounding the host vehicle including at least a relative position of the obstacle with respect to the host vehicle, an early avoidance assistance determination unit that determines a need for early avoidance assistance for avoiding collision between the host vehicle and the obstacle from a distance between the host vehicle and the obstacle on the path of the host vehicle based on the path of the host vehicle and the obstacle situation, and a collision avoidance assistance execution unit executes the early avoidance assistance in a case where the early avoidance assistance determination unit determines that the early avoidance assistance is needed.

Abstract: System and method for implementing a user's commands to utilize and control an autonomous vehicle. In several aspects, certain rules are arranged for navigation and operation of autonomous vehicle. In one aspect, a vehicle is configured to show a message to a user who hails the vehicle with gestures. In another aspect, a one-tap hailing process is configured, wherein destination info is not required.

Abstract: A device controls a defogging unit of a vehicle to be driven in a driving mode corresponding to a self-driving degree indicating a degree of depending on a self-driving system for a driving operation, and the defogging unit defogs a window of the vehicle. The device includes: an identification unit that identifies the self-driving degree; and a control execution unit that controls the anti-fogging function exhibited by the defogging unit. The self-driving degree is defined as exhibiting a higher value as the degree of depending on the self-driving system for the driving operation is larger. When the self-driving degree identified by the identification unit is a second value higher than a first value, the control execution unit controls the anti-fogging function executed by the defogging unit to be lower than that when the self-driving degree identified by the identification unit is the first value.

Abstract: An emergency vehicle detection system for a vehicle includes a plurality of camera assemblies having a camera and at least one microphone. At least one processor processes image data captured by the cameras, and processes outputs of the microphones. The at least one processor processes the outputs of the microphones to detect a sound source indicative of a siren emanating from an emergency vehicle exterior of the equipped vehicle, and to determine the direction of the detected sound source. Responsive to detection of the sound source and determination of the direction of the detected sound source, the at least one processor processes image data captured by at least one of the cameras that has its field of view encompassing the detected sound source to confirm that the detected sound source is a siren emanating from an emergency vehicle.

Abstract: Disclosed are an artificial device and a method for controlling the same. In the method for controlling the artificial device according to an embodiment of the present specification, source data for creating a profile of a user is acquired and a cluster including location information of the user and data on an event associated with the location information is created. In addition, the profile of the user is created by using the cluster, and region of interest (ROI) data is generated based on the profile of the user. According to the method, the ROI data including information on a region of interest to the user may be generated. The intelligent device of the present disclosure can be associated with artificial intelligence modules, drones (unmanned aerial vehicles (UAVs)), robots, augmented reality (AR) devices, virtual reality (VR) devices, devices related to 5G service, etc.

Abstract: A vehicle control processor and method capable of preventing departure to an off-road, to reduce driver discomfort, irritation and stress. The control processor calculates a width of a side strip between a left mark line and a road end based on information from a camera. When the width is wider than a specified width, steering torque based on first and second steering characteristics are exerted. The steering torque based on the first steering characteristic is exerted when a vehicle lateral end is located within a range from a left mark line outer end to a characteristic switching position, set in accordance with the width of the side strip between the left mark line and the road end, and the steering torque based on the second steering characteristic is exerted when the vehicle lateral end is located within a range from the characteristic switching position to the road end.

Abstract: A driving support device includes an output unit configured to output information, a recognition unit configured to recognize surrounding vehicles existing around a subject vehicle, and a control unit configured to determine control modes of in-vehicle devices of the subject vehicle on the basis of a position of a surrounding vehicle existing on an adjacent lane adjacent to a subject lane on which the subject vehicle exists among one or more surrounding vehicles recognized by the recognition unit.

Abstract: Junction queueing for vehicles is described, in which vehicles may be queued based on arrival time at a junction, position relative to a stopping location at the junction, and/or an amount of time waiting for other vehicles to proceed through the junction (timeout). In some examples, the queue may be first generated based on the arrival times of any other vehicle relative to a particular vehicle generating the queue. The queue may be updated based on arrival times of other vehicles (e.g., after the particular vehicle), whether another vehicle has proceeded out-of-turn (e.g., based on a position at the junction), and/or a timeout for vehicles that wait for others to yield at the junction. In some examples, hysteresis and alterations of the score for safety reasons may alter queue order. The queue may be used to control the particular vehicle to traverse the junction.

Abstract: Methods and systems for providing Advanced Driver Assistance System (ADAS) warnings and/or other types of information to an occupant of a motor vehicle are provided. Warning lights can be provided around the perimeter of a shape that represents the perimeter of the vehicle from a top-view perspective. Lights around the shape can be lit to convey a sense of the area of danger and/or the direction from which danger is approaching.

Abstract: Virtual bumpers for autonomous vehicles improve effectiveness and safety as such vehicles are operated. One or more sensor systems having a Lidar sensor and a camera sensor determine proximity of objects around the vehicle and facilitate identification of the environment around the vehicle. The sensor systems are placed at various locations around the vehicle. The vehicle identifies an object and one or more properties of the identified object using the sensor systems. Based on the identified object and the properties of the object, a virtual bumper may be created for that object. For example, if the object is identified as another vehicle moving with a certain velocity, the vehicle may determine a minimum space to avoid the other vehicle, either by changing direction or reducing the velocity of the vehicle, with the minimum space constituting a virtual bumper.

Abstract: A control system for an autonomous vehicle can determine a risk value for each respective path segment of a plurality of path segments in a given area that includes a destination of the autonomous vehicle. The risk value can correspond to a cost layer in a map that includes the respective path segment. Based on the risk value for each respective path segment, the control system can determine a travel route for the autonomous vehicle to the destination, and autonomously control the autonomous vehicle to navigate along the travel route to the destination.

Abstract: An automatic parking control device is capable of causing a vehicle to correctly reach the next frame without relying on normal parking route regeneration when a determination is made that the vehicle cannot reach the next frame under automatic parking vehicle control along a section route constituting a part of a parking route. When a determination is made whether the next frame is located on an extension of the current section route and the determination result shows that the next frame is located on the extension, the host vehicle travels further. When the determination is made whether the next frame is located on a remaining section of the current section route and the determination result shows that the next frame is located on the remaining section, the host vehicle decelerates earlier, thereby allowing the host vehicle to reach and come to a stop at the next frame.

Abstract: A system for alerting a user includes a first device for vehicle-to-pedestrian communication. The first device is operable by a pedestrian. The system further includes a vehicle operable by a driver including a second device for vehicle-to-pedestrian communication. The system is configured to provide an alert via at least one of the first device and second device to at least one of the driver and the pedestrian.