Abstract: The technology relates to autonomous vehicles having articulating sections such as the trailer of a tractor-trailer. Aspects include approaches for tracking the pose of the trailer, including its orientation relative to the tractor unit. Sensor data is analyzed from one or more onboard sensors to identify and track the pose. The pose information is usable by on-board perception and/or planning systems when driving the vehicle in an autonomous mode. By way of example, on-board sensors such as Lidar sensors are used to detect the real-time pose of the trailer based on Lidar point cloud data. The orientation of the trailer is estimated based on the point cloud data, and the pose is determined according to the orientation and other information about the trailer. Aspects also include determining which side of the trailer the sensor data is coming from. A camera may also detect trailer marking information to supplement the analysis.

Abstract: Method for detecting traffic congestion using a motor vehicle radar system, comprising multi-beam radar sensors (21-24) in the rear and front corners of the vehicle, the method comprising the steps of: dividing the radar sensors (Df_l, Df_r, Dr_l, Dr_r) into four angular sectors (Zfront, Zrear, Zleft, Zright) extending to the front, to the rear, to the right and to the left of the vehicle respectively, —selecting for each angular sector, from the beams for which no target is detected, the (Dfront, Drear, Dleft, Dright) beam having the shortest reach distance, —detecting the amplitude of reflected beams corresponding respectively to the selected beams, and—analysing the period during which the amplitude of the reflected beams is maintained relative to a predefined time threshold for each angular sector respectively, the method detecting a traffic congestion situation when the analysing step determines simultaneously for the four angular sectors that the period during which the amplitude of the reflected beams

Abstract: A vehicle collision avoidance assist apparatus keeps stopping a collision avoidance control when a forbiddance condition is satisfied, and a collision condition is satisfied. The forbiddance condition is a condition that the collision angle is equal to or greater than a predetermined collision angle threshold. The collision condition is a condition that an own vehicle is going to collide with an object. While the own vehicle turns, the apparatus acquires an own vehicle turning angle which the own vehicle has turned about a turning center from when the own vehicle starts turning and sets the predetermined collision angle threshold such that the predetermined collision angle threshold set for the greater own vehicle turning angle is smaller than the predetermined collision angle threshold set for the smaller own vehicle turning angle.

Abstract: Systems and methods are provided for facilitating mobile commerce interactions between a customer and a merchant, whereby a customer, having initiated a mobile commerce transaction via a mobile device, arrives at a merchant location to complete the transaction. In some embodiments, an intermediate remote server is employed to facilitate communication between a third party app running on a customer mobile computing device, and an app-agnostic merchant computing device residing at a merchant location. In some embodiments, the relative signal strength of a local wireless transceiver associated with a customer mobile computing device is employed to determine the proximity of a customer relative to a merchant at a merchant's premises. This proximity information may be employed to display, on the merchant computing device, a list of customers that is prioritized according to relative proximity.

Abstract: A method, an apparatus, and a computer program for a transportation vehicle to determine positions of other transportation vehicles based on received collective perception messages. The method includes receiving one or more collective perception messages providing information on an absolute position of a transportation vehicle generating the collective perception message and a relative position of one or more further transportation vehicles being perceived by the transportation vehicle generating the collective perception message; placing the respective transportation vehicle generating the collective perception message and the one or more further transportation vehicles being perceived by the transportation vehicle generating the collective perception message on a map using the positions received in the one or more collective perception messages; and correlating the positions of the transportation vehicles on the map with a course of the road on which the respective transportation vehicles are travelling.

Abstract: A driving assistance device recognizes traveling environment information on a vehicle, detects a moving object having a speed component from an outside of a traveling road of the vehicle to an inside of the traveling road, determines whether the moving object will collide with the vehicle based on movement information of the vehicle and the moving object, performs execution of emergency braking if a physical quantity indicating a correlation between the vehicle and the moving object is equal to or smaller than a preset threshold, and cancels the execution of the emergency braking if the physical quantity is equal to or smaller than the threshold and a structure that blocks entry of the moving object into the traveling road is present on a movement path of the moving object.

Abstract: A method for communicating with a driver of a vehicle, the method includes (i) obtaining object information regarding one or more objects located within an environment of the vehicle; (ii) analyzing the object information; (iii) determining, by using one or more neural network (NNs), and based on the object information, a virtual force associated with a physical model and representing an impact of the one or more objects on a behavior of the vehicle; and (iv) determining, based on at least the virtual force, a force feedback for use in providing a physical restraining force to be applied in association with a driver action made by the driver using the vehicle.

Abstract: An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.

Abstract: The present application relates to a method for vehicle hinge point calibration, comprising: acquiring a raw image of a first portion and a second portion hinged to one another of a vehicle; adjusting, stitching and cropping the raw image to obtain respective independent surround-view images of the first portion and the second portion; and at least on the basis of the independent surround-view images of the first portion and the second portion, calculating the angle of rotation and the corresponding translation vector between the first and second portions, and thus calculating the coordinates of the respective hinge points of the first and second portions. Further comprised in the present application are an apparatus for vehicle hinge point calibration, a computer device, and a computer-readable storage medium.

Abstract: Systems and methods for reducing health risks with respect to an infectious disease in buildings. Health data for an infectious diseases is used to determine a health risk level for building spaces and individuals in the building. An air handling action or a disinfection action is performed based on the health risk level.

Abstract: The subject technology causes, at a client device, display of a graphical interface comprising a plurality of selectable graphical items, each selectable graphical item corresponding to a respective content item associated with a different geolocation. The subject technology receives, at the client device, a selection of a first selectable graphical item from the plurality of selectable graphical items, the first selectable graphical item corresponding to a particular geolocation. The subject technology causes display, at the client device, a second plurality of selectable graphical items, each of the second plurality of selectable graphical items corresponding to a particular second geolocation of an activity or place of business within a geographical area associated with the particular geolocation.

Abstract: This application relates to a device and a method for calculating a fault ratio. The method may include by using image frames collected from a camera of a first vehicle, generating a driving route in which the first vehicle travels, and acquiring fault information of a traffic accident involving a second vehicle, the traffic accident being related to the driving route of the first vehicle. The method may also include changing factors related to braking or steering of the first vehicle and the second vehicle, and generating multiple simulation driving scenarios by simulating the driving route on the basis of the changed factors. The method may further include computing a fault ratio of the first vehicle and the second vehicle for each of the multiple simulation driving scenarios by correcting the fault information on the basis of the factors.

Abstract: A method for operating a materials handling vehicle is provided comprising: monitoring, by a controller, a first vehicle drive parameter corresponding to a first direction of travel of the vehicle during a first manual operation of the vehicle by an operator and concurrently monitoring, by the controller, a second vehicle drive parameter corresponding to a second direction different from the first direction of travel during the first manual operation of the vehicle by an operator. The controller receives, after the first manual operation of the vehicle, a request to implement a first semi-automated driving operation. Based on the first and second monitored vehicle drive parameters during the first manual operation, the controller controls implementation of the first semi-automated driving operation.

Abstract: A driving support apparatus includes a surrounding information acquisition device which acquires surrounding information, a steering information acquisition device which acquires steering information, a control unit which executes driving support control including at least one of pre-right/left-turn deceleration assist control or pre-right/left-turn warning control when a predetermined first execution condition is satisfied. When a precondition which is satisfied in a case in which an intersection is detected based on the surrounding information and steering operation is being performed by a driver based on the steering information is satisfied, the control unit determines whether or not the first execution condition is satisfied based on the steering operation being performed and traveling lane arrow information which is road arrow information of a traveling lane or adjacent lane arrow information which is road arrow information of an adjacent lane, both of which being stored in a storage device.

Abstract: A parking assistance method includes: storing positions of target objects detected around the target parking position as learned target object positions; when the own vehicle travels in a vicinity of the target parking position after the learned target object positions are stored, counting the number of times that the learned target object position coincides with a surrounding target object position of a target object detected around the own vehicle and providing a higher degree of reliability to the learned target object position having a larger number of times of coincidence with the surrounding target object position; by comparing the learned target object position having a degree of reliability greater than or equal to a predetermined threshold degree of reliability with a position of a target object detected around the own vehicle, calculating a relative position of the own vehicle with respect to the target parking position.

Abstract: A computer-implemented method for determining an appropriate control strategy for a mobile agent for an environment with one or more dynamic objects. The method includes: providing a number of different scenarios wherein to each of the scenarios a number of dynamic objects is associated, wherein for each of the scenarios, each of the dynamic objects is associated with a start, a goal and a behavior specification; providing a number of control strategy candidates for the mobile agent; benchmarking each of the control strategy candidates in any of the scenarios; selecting the control strategy for the mobile agent depending on the result of the benchmarking of the control strategy candidates.

Abstract: A collision avoidance assistance device includes a first determination section that determines a probability that a vehicle changes course, by using a recognition result of a road structure and a detection result by internal field sensors, a second determination section that determines a probability that the vehicle changes course, by using information related to a traveling situation output, a decision section that decides an operation mode of collision avoidance assistance using a collision avoidance assistance mechanism, by using a combination of a determination result of the first determination section and a determination result of the second determination section, and an assistance section that performs a process for controlling the collision avoidance assistance mechanism in the operation mode that has been decided by the decision section, upon detection of a collision probability with an obstacle using the information output by information output devices.

Abstract: A system for processing multivariate, time-series data to classify portions of the data corresponding to an identified event or condition. Time periods of interest may be identified as search criteria for a variety of purposes. As an example, an event or condition may occur, whereby, precursors to the event or condition may be present in the time-series data, and thereby be a time period of interest as a predictor of future occurrences. As another example, the state of the system during normal operation may be identified. Based on the provided data, the processing system may output a prediction or a likelihood of a re-occurrence of the condition. One or more actions may be taken in response to the output of the system to prevent the occurrence of the condition or otherwise respond to the possibility of the occurrence of the condition.

Abstract: A vehicle control system includes first to third prediction path generators, an assist travel controller, a divergence determining unit, a transition controller, and a travel path selector. The first prediction path generator generates a first prediction path of a vehicle based on map information and positional information of the vehicle. The second prediction path generator generates a second prediction path of the vehicle based on external environment information. The third prediction path generator generates a third prediction path based on the two prediction paths. The assist travel controller performs hands-off driving. The divergence determining unit determines whether a predetermined divergence has occurred between the two prediction paths. The transition controller performs a transition from the hands-off driving to hands-on driving in a case where the divergence has occurred. The travel path selector selects the third prediction path as a travel path of the vehicle during the transition.

Abstract: Systems and methods of non-line-of-sight passive detection and integrated early warning of an unmanned aerial system by a plurality of acoustic sensors are described. In some embodiments, the plurality of acoustic sensors is positioned within an intra-netted array in depth according to at least one of a terrain, terrain features, or man-made objects or structures. The acoustic sensors are capable of detecting and tracking unmanned aerial systems in non-line-of-sight environments. In some embodiments, the acoustic sensors may be in communication with internal electro-optical components or other external sensors, with orthogonal signal data then transmitted to remote observation stations for correlation, threat determination and if required, mitigation. The unmanned aerial systems may be classified by type and a threat level associated with the unmanned aerial system may be determined.

Abstract: A target vehicle recognition apparatus for recognizing a target vehicle as a target to be avoided by steering control of a host vehicle detects a stopped vehicle located in front of the host vehicle, determines whether the stopped vehicle is in a forward-facing state to the host vehicle or a rearward-facing state to the host vehicle, determines whether the stopped vehicle is in a right boundary line deviation state crossing a right boundary line of a travel lane of the host vehicle, a left boundary line deviation state crossing a left boundary line of the travel lane, and recognizes the target vehicle for steering control based on a captured image captured by a front camera of the host vehicle and each of the determination results.

Abstract: A method includes causing an aerial vehicle to deploy a tethered component to a particular distance beneath the aerial vehicle by releasing a tether connecting the tethered component to the aerial vehicle. The method also includes obtaining, from a camera connected to the aerial vehicle, image data that represents the tethered component while the tethered component is deployed to the particular distance beneath the aerial vehicle. The method additionally includes determining, based on the image data, a position of the tethered component within the image data. The method further includes determining, based on the position of the tethered component within the image data, a wind vector that represents a wind condition present in an environment of the aerial vehicle. The method yet further includes causing the aerial vehicle to perform an operation based on the wind vector.

Abstract: Aspects of the disclosure provide for automatically generating labels for sensor data. For instance first sensor data for a first vehicle is identified. The first sensor data is defined in both a global coordinate system and a local coordinate system for the first vehicle. A second vehicle is identified based on a second location of the second vehicle within a threshold distance of the first vehicle within the first timeframe. The second vehicle is associated with second sensor data that is further associated with a label identifying a location of an object, and the location of the object is defined in a local coordinate system of the second vehicle. A conversion from the local coordinate system of the second vehicle to the local coordinate system of the first vehicle may be determined and used to transfer the label from the second sensor data to the first sensor data.

Abstract: A target vehicle recognition apparatus detects a stopped vehicle ahead of the host vehicle, detects a reference boundary line position where at least one of two boundary lines forming a travel lane of the host vehicle intersects a reference axis extending from a lower end of the stopped vehicle in an image horizontal direction on a captured image, recognizes the stopped vehicle as a target vehicle of steering control when the reference boundary line position between a vehicle left end position of the stopped vehicle and a vehicle right end position of the stopped vehicle is present, and does not recognize the stopped vehicle as a target vehicle of steering control when the reference boundary line position between the vehicle left end position of the stopped vehicle and the vehicle right end position of the stopped vehicle is not present.

Abstract: Disclosed is a navigation system configured to track an object. The navigation system comprises a tracker configured to couple to the object and a localization device configured to track the tracker. The tracker and the localization device are configured to wirelessly communicate using a first communication method operable on a first spectrum and to wirelessly communicate using a second communication method operable on a second spectrum different from the first spectrum. The localization device utilizes the first communication method to track the tracker and utilizes the first communication method to manage an operating parameter of the tracker with respect to the second communication method.

Abstract: A medical device of an embodiment includes at least one movably mounted and motor-adjustable component; at least one drive unit for adjusting the at least one component; at least one motor control unit associated with the drive unit; and at least one sensing unit for sensing a position parameter dependent on the position of the at least one component. According to an embodiment of the invention, a safety function is integrated in the motor control unit. The safety function limits at least one operating parameter associated with the motion of the at least one component to be performed. An apparatus control unit controls the drive unit in dependence on the position parameter in accordance with the safety function. At least one embodiment of the invention further relates to a method for operating a medical device.

Abstract: An occurrence of one or more “care events” is detected by an electronic device monitoring environmental data and/or user data from one or more sensors. The electronic device transmits one or more alerts regarding the detected occurrence to at least one other electronic device. In some cases, the electronic device may cooperate with at least one other electronic device in monitoring, detecting, and/or transmitting. For example, the electronic device may detect the occurrence based on sensor data received from a cooperative electronic device or such data in combination with the electronic device's sensor data. By way of another example, the electronic device may detect the occurrence and signal a cooperative electronic device to transmit one or more alerts.

Abstract: An apparatus for warning the collision of a vehicle includes an information acquirer configured to acquire information on a surrounding object and information on a vehicle, and a controller configured to generate collision predicting information for the surrounding object, based on the information on the surrounding object and the information on the vehicle, and generate control information to control braking of the vehicle and to provide, based on the collision predicting information, a buffer element to an outside of the vehicle while controlling the braking of the vehicle.

Abstract: Provided is a vehicle including an autonomous driver assistance system. The vehicle is capable of: acquiring a road image while driving; recognizing other vehicles and lanes from the acquired road image; recognizing the recognized driving pattern of the other vehicle based on the recognized location information of the other vehicle and the recognized location information of the lane, determining whether the other vehicle is a vehicle that fails to comply with a safety driving obligation based on the recognized driving pattern, outputting warning information when it is determined that the other vehicle is not complying with the safety driving obligation; determining whether a lane change is necessary based on the recognized location information of the lane of the other vehicle and the driving pattern of the other vehicle; guiding the lane change when it is determined that it is necessary to change the lane.

Abstract: Provided is an apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data. The controller may identify at least one object obstructing driving of the host vehicle based on the image data, and control a steering controller of a steering device to apply a periodically varying dithering torque to the steering device of the host vehicle in response to a collision with the at least one object being expected. The apparatus for assisting driving of a host vehicle may shorten the response time for emergency steering.

Abstract: A vehicle reducing unease of a driver during driver assistance, provided with a display device configured to display a surrounding vehicle together with a host vehicle at a relative position calculated by an object recognition device, display a mark showing that a lane change is planned to be performed at a predetermined space for performing a lane change in a destination driving lane which is a destination for a lane change when an automatic lane change is planned to be performed, and make a position of the mark change in accordance with the relative position of the surrounding vehicle when there is a surrounding vehicle present having an effect on a lane change in the destination driving lane.

Abstract: A three-dimensional point cloud label learning and estimation device includes: a clustering unit that clusters a three-dimensional point cloud into clusters; a learning unit that makes a neural network learn to estimate a label corresponding to an object to which points contained in each of the clusters belong; and an estimation unit that estimates a label for the cluster using the neural network learned at the learning unit. In the three-dimensional point cloud label learning and estimation device, the neural network uses a total sum of sigmoid function values (sum of sigmoid) when performing feature extraction on the cluster.

Abstract: A turning work vehicle includes a lower travel body, an upper turning body, a work device, a rotation body, and a support column. The lower travel body is provided with a blade. The upper turning body is supported by the lower travel body so as to be able to turn. The work device is supported by the upper turning body so as to be able to rotate. The rotation body is provided to the blade. The support column projects from the rotation body. A target prism, which is the measurement object of a total station, can be secured to the support column. The rotation body rotates in relation to the blade, whereby the posture of the support column is configured so as to be able to switch between an upright posture and a fallen posture.

Abstract: The apparatus for controlling group driving according to as aspect may include an inter-vehicle communication unit for communicating with a leader vehicle to receive the driving state and traveling track of the leader vehicle, a leader vehicle learning unit for learning a driving pattern of the leader vehicle based on the driving state of the leader vehicle received through the inter-vehicle communication unit, an autonomous drive unit for autonomously driving the follower vehicle in accordance with the traveling track of the leader vehicle, and a follow-up control unit for receiving the driving state of the leader vehicle to learn the driving pattern of the leader vehicle, controlling the autonomous drive unit to follow the traveling track of the leader vehicle, and performing the autonomous driving by applying the driving pattern of the leader vehicle.

Abstract: A map in a cloud service stores physical objects previously detected by other vehicles that have previously traveled over the same road that a current vehicle is presently traveling on. New data received by the cloud service from the current vehicle regarding new objects that are being encountered by the current vehicle can be compared to the previous object data stored in the map. Based on this comparison, an operating status of the current vehicle is determined. In response to determining the status, an action such as terminating an autonomous navigation mode of the current vehicle is performed.

Abstract: Techniques for aggregating costs associated with one or more heat maps to control a vehicle in an environment are discussed herein. A vehicle computing device can implement a model to determine heat maps and respective cost information for different features of the environment based on sensor data. The vehicle computing device can output a planned trajectory for the vehicle based on combining the heat maps. The techniques can also include determining a rationalization or root cause detailing reasons why the planned trajectory was determined.

Abstract: In the method, a predetermined first number of sensed positions (Pi) of the object (20) are provided, the positions being provided with respect to a vehicle coordinate system (K) of the vehicle (10). Depending on a predetermined second number of the provided positions, a second coordinate system (K?) is determined. The provided positions are transformed into the second coordinate system (K?) and a function is determined which approximates a course of the provided positions in the second coordinate system (K?). For a predetermined third number of sampling points of the function, at least one analytical property of the function is determined at the respective sampling point. The coordinates and the at least one analytical property of the respective sampling point are transformed into the vehicle coordinate system (K).

Abstract: An approach is provided for determining travel direction and/or location data based on sequential semantic events. The approach, for example, involves processing sensor data collected from at least one sensor of a mobile device to determine a set of observed time-sequenced semantic events. The semantic events are associated with traveling within a transportation system, and at least one semantic event of the set of observed time-sequenced semantic events is based on a turn angle value determined from the sensor data. The approach also involves initiating a comparison of the set of observed time-sequenced semantic events against a set of known time-sequenced semantic events and/or a known piece of information associated with the transportation system. The approach further involves determining a direction of travel and/or a location of the mobile device within the transportation system based on the comparison. The approach further involves providing the direction of travel and/or the location as an output.

Abstract: A computer-implemented method, a computer system, and a computer program product for trajectory similarity search is provided. The present invention may include, in response to receiving, by one or more processors, a search request for at least one trajectory similar to a query trajectory, determining, by one or more processors, a respective similarity between a query trajectory and a plurality of trajectories by calculating, in a synchronized way, a spatial distance measure and a time difference measure between the query trajectory and the plurality of trajectories. The present invention may further include, identifying, by one or more processors, the at least one trajectory from the plurality of trajectories based on the respective similarity between the query trajectory and the plurality of trajectories.

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: 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: 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: 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.