Abstract: Aspects of the disclosure relate to computing platforms that utilize machine learning to reduce false positive/negative collision output generation. A computing platform may apply machine learning algorithms on received data to generate a collision output. In response to generating the collision output indicating a collision, the computing platform may identify a data collection location. If the data collection location is within a predetermined radius of a false positive collection location, the computing platform may modify the collision output to indicate a non-collision. If the data collection location is not within the predetermined radius, the computing platform may compute a score using telematics data and compare the score to a predetermined threshold. If the score does not exceed the predetermined threshold, the computing platform may modify the collision output to indicate a non-collision.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system includes a processing device programmed to receive a plurality of images representative of an environment of the host vehicle. The environment includes a road on which the host vehicle is traveling. The at least one processing device is further programmed to analyze the images to identify a target vehicle traveling in a lane of the road different from a lane in which the host vehicle is traveling; analyze the images to identify a lane mark associated with the lane in which the target vehicle is traveling; detect lane mark characteristics of the identified lane mark; use the detected lane mark characteristics to determine a type of the identified lane mark; determine a characteristic of the target vehicle; and determine a navigational action for the host vehicle based on the determined lane mark type and the determined characteristic of the target vehicle.

Abstract: A method for adapting driving behavior includes inspecting driving behavior of a motor vehicle (1) travelling consecutively with a road user (2). Consecutive travel is detected by at least one sensor of the motor vehicle (1). If the other road user (2) is not detected, the method uses traffic data to predict a position of the other road user (2). If the predicted position of the road user (2) reveals consecutive travel, the method inspects the driving behavior of the motor vehicle (1) as in the case of consecutive travel detected by the at least one sensor. The method adapts a driving behavior while using few sensors to provide a high level of road safety and/or a high level of driving comfort. Optionally, a human-machine interface may display or report back a virtual representation of the road user in the predicted position to the driver of the motor vehicle.

Abstract: An undercarriage clearance system includes a datastore containing undercarriage geometry data including ground clearance data of the undercarriage assembly across a lateral dimension of a wheelbase of the work vehicle; a first sensor configured to collect ground environment data within the vehicle trajectory; and a controller. The controller is configured to: receive the undercarriage geometry data from the datastore; receive the ground environment data from the first sensor; identify an obstacle within the vehicle trajectory; evaluate a height of the identified obstacle and a projected path of the obstacle within the wheelbase of the work vehicle along the vehicle trajectory relative to the undercarriage geometry data to determine an obstacle clearance expectation; and generate an alert command signal based on the determination of the obstacle clearance expectation. A display device is configured to render a display based on the alert command signal representing the obstacle clearance expectation.

Abstract: An apparatus includes: a first camera configured to view an environment outside a vehicle; a second camera configured to view a driver of the vehicle; and a processing unit configured to receive a first image from the first camera, and a second image from the second camera; wherein the processing unit is configured to determine first information indicating a risk of collision with the vehicle based at least partly on the first image; wherein the processing unit is configured to determine second information indicating a state of the driver based at least partly on the second image; and wherein the processing unit is configured to determine whether to provide a control signal for operating a device or not based on (1) the first information indicating the risk of collision with the vehicle, and (2) the second information indicating the state of the driver.

Abstract: A parking lot management device configured to manage traveling of vehicles by setting a scheduled passage time for each node indicating a travel route in a parking lot includes: an acquisition unit configured to acquire an actual passage time at which a first vehicle has actually passed a first node; a determination unit configured to determine a collision risk between a second vehicle and the first vehicle based on the actual passage time, the second vehicle being scheduled to pass, following the first vehicle, a second node that is located forward of the first node in a traveling direction of the first vehicle; and a setting unit configured to delay a first scheduled passage time at which the second vehicle passes the second node to cause the second vehicle to pass the second node following the first vehicle when it is determined that there is the collision risk.

Abstract: A traffic safety system is provided at intersections that store road user trajectories in relation to external influences and road user classes so that it can establish a baseline with which future trajectories can be compared in order to predict a deviation from the baseline which is used to calculate probable and possible collision severity in order to provide a means by which a range of mitigating responses can be activated.

Abstract: An information supply method causes a computer of a terminal device equipped with a camera and mounted in a mobile object to execute: a process of acquiring an image; a process of determining an alert level for an operator of the mobile object is a first alert level or a second alert level that is a level lower than the first alert level based on a surrounding situation of the mobile object obtained from the image; and a process of displaying information appropriate to the alert level on a display provided on a casing in which the camera of the terminal device is provided in accordance with a result of the determination.

Abstract: An intelligent traffic control system may be configured to manage autonomous vehicle traffic, such as by communicating with autonomous vehicles. The intelligent traffic control system may be configured to output an indication of a traffic control command to autonomous vehicles and non-autonomous vehicles. The intelligent traffic control system may be configured to determine traffic control commands for autonomous vehicles and non-autonomous vehicles.

Abstract: A vehicle-mounted recording component which is convenient to assemble and disassemble, including an image terminal for recording image and sounds, an operation terminal for outputting control instruction signals and a processing terminal for processing the recorded images and sounds according to the received control instruction signals, the processing terminal includes a circuit board and a guide structure capable of quickly installing the circuit board. The guide structure has a tapered guide hole and a tapered guide column that cooperate with each other; in case of installing a single-layer circuit board, the tapered guide hole and the tapered guide column are respectively arranged on the circuit board and the circuit board bracket; in case of installing a double-layer circuit board, the tapered guide hole and tapered guide column are respectively arranged on the two circuit boards.

Abstract: A method for controlling autonomous lane change of a moving body is disclosed. The method includes calculating a driving route from a current location of the moving body to a destination; determining whether an intersection or a forked road exists at a predetermined distance from the current location of the moving body on the calculated driving route; checking, when the intersection or the forked road exists, link information corresponding to a lane in which the moving body is located, and determining a moving direction toward the intersection or the forked road; determining an entry route for entering the intersection or the forked road according to the determined moving direction; and generating a control signal for controlling a moving direction of the moving body according to the determined entry route.

Abstract: Embodiments disclosed herein provide for a method including configuring a self-learning safety sign to: establish vehicle-to-everything (V2X) communications with a two-wheeler equipped with a V2X transceiver and positioned at a ride point and/or ridden along a common and divergent route according to a setup stage for the safety sign; receive ride parameters in the V2X communications from the two-wheeler associated with the positioning and/or riding of the two-wheeler; and analyze the received ride parameters to create a ride model for determining a future route to be taken by any two-wheeler in V2X communication with the safety sign.

Abstract: A display device includes a light collector including a camera unit having a camera and a window unit having a window, an optical unit that controls a path of light received from the window unit, and a transparent display panel including at least one pixel area that displays an image based on an image captured by the camera unit and at least one transmissive area that displays an image received from the optical unit.

Abstract: A vehicle collision avoidance method includes receiving host vehicle driving information, receiving remote vehicle driving information, generating a host vehicle position function and a remote vehicle position function, setting a transformation coordinate system, calculating a rotation angle, transforming the host vehicle position function and the remote vehicle position function to a transformed host vehicle position function and a transformed remote vehicle position function, respectively, using the rotation angle, determining a collision possibility between the host vehicle and the remote vehicle using the transformed host vehicle position function and the transformed remote vehicle position function, and controlling the host vehicle depending on the collision possibility.

Abstract: An apparatus for outputting a virtual engine sound includes: an output device that outputs the virtual engine sound; a bumper beam connected to a rear surface of the output device; and a bumper foam connected to the output device and the bumper beam while opening left and right side surfaces of the output device. The apparatus for outputting a virtual engine sound may improve a virtual engine sound output efficiency by utilizing a sound pressure radiated from a side surface of the virtual engine sound output device.

Abstract: An embodiment mobility guidance system includes a sensor provided in a mobility and configured to capture a driving video or an image to transmit the driving video or the image, a memory configured to store a danger zone image, a detector configured to compare the driving video or the image captured by the sensor with the danger zone image stored in the memory to detect an existence of a danger zone on a driving path of the mobility, and a guide configured to set a guide zone in response to the detector detecting the existence of the danger zone and a change in a speed or an acceleration of the mobility, and to provide the guide zone to a second mobility.

Abstract: Implementations a method using a collision detection device associated with a user to detect a moving object in an environment and provide an alert to the user are provided. In some implementations the environment comprises at least one transmitter of opportunity. In some implementations, the collision detection device comprises a receiver and a processor. In some implementations, the method comprises receiving at the collision detection device Wi-Fi signals reflected from the moving object where the Wi-Fi signals originate from a Wi-Fi source not associated with the moving object. The method further comprises detecting, measuring, and tracking the Doppler effect of the Wi-Fi signals at the collision detection device to track velocity vector relative to the collision detection device. The method further comprises calculating the time of arrival of the moving object based on the velocity vector relative to the location of the collision detection device.

Abstract: An autonomous driving vehicle information presentation device includes a traffic congestion information acquisition unit that acquires information on traffic congestion ahead in a traveling direction of an own vehicle, a traveling lane identification unit that identifies a lane where the own vehicle is currently located, a stop position prediction unit that acquires a traveling state of a preceding vehicle based on an external environment information and the traffic congestion information, and to predict a stop position related to the preceding vehicle based on the acquired traveling state, an action plan generation unit that generates an action plan of the own vehicle based on the stop position and the currently located lane, and an information presentation unit that presents information including the generated action plan through using an external display device provided at a rear portion of a vehicle interior of the own vehicle.

Abstract: A control method for a host vehicle (100), comprising a) acquiring a speed (Vx) of the host vehicle, a relative speed (Vr) and distance (Dr) between a preceding vehicle (200) and the host vehicle (100); b) calculating a perceived risk level (PRL) as a function of said speed Vx of the host vehicle, said relative speed Vr, said relative distance Dr, and at least one of variables Vx*Vr and Vx2; and c) controlling at least one vehicle device (32, 34, 36, 38) of the host vehicle as a function of the perceived risk level (PRL). A computer program, a non-transitory computer-readable medium, and an automated driving system for implementing the above method.

Abstract: The invention relates to mobile surveillance and, more particularly, to systems and methods for policing traffic violations, such as illegal cell phone use while driving. The surveillance system may include a mobile unit and an imaging device configured to monitor, detect, and record vehicles moving in the same direction or in an opposite direction of the mobile unit. The imaging device may capture license plate information and other data, such as characteristics corresponding to the driver of the vehicle. Advantageously, the surveillance system can record, analyze, detect, and communicate distracted driver violations effectively and efficiently.

Abstract: A driver assistance system includes a first sensor installed in a vehicle to have a front view of a vehicle, and configured to obtain front image data; a second sensor installed in the vehicle to have a front detection field of view of the vehicle and selected from a group consisting of a radar sensor and a LiDAR sensor, configured to obtain front detection data; a third sensor installed in the vehicle to have a side detection field of view of the vehicle and selected from a group consisting of the radar sensor and the LiDAR sensor, and configured to obtain side detection data; and a controller including a processor configured to process at least one of the front image data, the front detection data, and the side detection data.

Abstract: A blind spot warning system is provided for a motor vehicle having a longitudinal axis and a steering shaft. The system includes a steering angle sensor (SAS), which is coupled to the steering shaft and generates a steering signal associated with a wheel angle in response to the steering shaft rotating. The system further includes a computer having one or more processors and a non-transitory computer readable storage medium storing instructions. The processor is programmed to determine a blind spot region extending from a sideview mirror of the motor vehicle and based on the wheel angle. The processor is further programmed to generate an actuation signal associated with the blind spot region. The system further includes one or more light projectors that project a light onto a roadway adjacent to the motor vehicle to indicate a current size and a current location of the blind spot region.

Abstract: An obstacle-avoidance method includes detecting an obstacle in a vicinity of a motor vehicle and planning an obstacle-avoidance path for avoiding the obstacle; and commanding steering and differential braking systems to handle the avoidance path.

Abstract: A radar system comprises a set of transmitters and a processor coupled to the set of transmitters. The processor is configured to modulate a first portion of a chirp in a chirp frame according to a first phase. The processor is further configured to modulate a second portion of the chirp in the chirp frame according to a second phase and configured to combine the first and second portions of the chirp to produce a phase-modified chirp. The processor is further configured to instruct the set of transmitters to transmit the phase-modified chirp by applying time division multiple access (TDMA) and by directing radio frequency energy according to a target angle and a target gain.

Abstract: The disclosure is generally directed to systems and methods for facilitating travel over a last leg of a journey. In one example embodiment, an unmanned aerial vehicle (UAV) captures an image of an area to be traversed by an individual during the final leg of the journey. The image is evaluated to identify a hindrance that may be encountered by the individual in the area. A pre-emptive action may be taken to address the hindrance before reaching the area. The pre-emptive action, may, for example, include using the UAV and/or a terrestrial robot to assist the individual traverse the area. The assistance may be provided in various ways such as by use of the terrestrial robot to transport the individual and/or a personal item of the individual through the area, and/or by use of the UAV to provide instructions to guide the individual through the area.

Abstract: A method and an apparatus for generating a test case (TC) for dynamic verification of an autonomous driving system are provided. The method includes receiving an input signal and generating a temporary TC based on the input signal. A confirmed TC is determined based on a first output signal corresponding to the input signal and a second output signal corresponding to the temporary TC. A final TC is determined by re-arranging the confirmed TC and the final TC is transmitted to an external device.

Abstract: A method of controlling the movements of at least one controllable door of a motor vehicle and a motor vehicle component. A control device and a sensor arrangement are assigned to the door, and the door has a controllable motion influencing device. A motion of a door wing of the door can be controlled and influenced by way of the motion influencing device in between a closed position and an open position. The sensor arrangement includes a distance sensor in the movable door wing that captures distance data during the motion, and obtains from the distance data captured with the distance sensor in different angular positions, the position of at least one object in the surrounding area of the door wing, by way of triangulation.

Abstract: Embodiments of the invention include a vehicle telematics system including a telematics device and a remote server system, wherein the telematics device obtains sensor data from at least one sensor installed in a vehicle, calculates peak resultant data based on the sensor data, generates crash score data based on the peak resultant data and a set of crash curve data for the vehicle, and provides the obtained sensor data when the crash score data exceeds a crash threshold to the remote server system and the remote server system obtains vehicle sensor data and vehicle identification data from the vehicle telematics device, calculates resultant change data and absolute speed change data based on the obtained sensor data and/or the vehicle identification data, and generates crash occurred data when the resultant change data exceeds a first threshold value and when the absolute speed change data is below a second threshold value.

Abstract: An actuator of an airbag device includes a main body portion, which is attached to an attachment base, and a cap including a fitting protruding portion that is inserted into a fitting recessed portion of the main body portion. The fitting protruding portion has a holding portion, which is inserted into a holding hole of a coupling member when fitted to the main body portion and holds a leading end portion of the coupling member, and a movement permitting unit that, when a ceiling portion of the cap is subjected to pressure of a combustion gas of a squib, causes the ceiling portion to move, and causes the holding portion to move from a holding position, wherein the holding portion is inserted into the holding hole of the coupling member, to a holding released position, wherein the holding portion is removed from the holding hole.

Abstract: The present disclosure provides systems and methods that apply neural networks such as, for example, convolutional neural networks, to sparse imagery in an improved manner. For example, the systems and methods of the present disclosure can be included in or otherwise leveraged by an autonomous vehicle. In one example, a computing system can extract one or more relevant portions from imagery, where the relevant portions are less than an entirety of the imagery. The computing system can provide the relevant portions of the imagery to a machine-learned convolutional neural network and receive at least one prediction from the machine-learned convolutional neural network based at least in part on the one or more relevant portions of the imagery. Thus, the computing system can skip performing convolutions over regions of the imagery where the imagery is sparse and/or regions of the imagery that are not relevant to the prediction being sought.

Abstract: Provided are a driving assistance system and method. The driving assistance system is for interfacing with an individual vehicle and includes: a camera system that generates image information about the surroundings of the vehicle; a vehicle controller that generates driving information about the vehicle; and a communication port. The driving assistance system includes a driving assistance terminal and/or mobile device that are/is connected to the communication port, acquire(s) image information and/or driving information by using the communication port, and execute(s) at least a portion of a travel program for the driving assistance terminal and/or mobile device on the basis of an image and/or driving information for controlling the vehicle with respect to one or more of auxiliary travels and/or autonomous operations of the vehicle through a control signal generated by the driving assistance terminal or the mobile device and provided to the vehicle.

Abstract: An emergency braking function control method of a vehicle includes detecting an obstacle ahead of the vehicle, the vehicle being in a state of being travelable in a forward direction using power of a power source, in response to the detecting, determining a first steering angle and a second steering angle, the first steering angle being a maximum steering angle at which the vehicle collides with the obstacle and the second steering angle being a steering angle at which the vehicle turns while maintaining a minimum safe distance from the obstacle, the first and second steering angles being determined based on a distance to the obstacle, a heading of the obstacle, and an input steering angle, and determining whether to change an emergency braking function based on the input steering angle, the first steering angle, or the second steering angle.

Abstract: An apparatus, method and computer program product are provided for predicting events in which drivers fail to see curbs while the drivers are maneuvering vehicles. In one example, the apparatus receives vehicle attribute data associated with a first vehicle, map data indicating one or more attributes of a road portion including a first curb, and sensor data indicating an orientation of a first driver within the first vehicle. The apparatus causes a machine learning model to render an output as a function of the vehicle attribute data, the map data, and the sensor data. The output indicates a likelihood of which the first driver will not be able to see the first curb at the road portion when the first driver is maneuvering the first vehicle. The machine learning model is trained to predict the output based on historical data indicating events in which second drivers maneuvered second vehicles to encounter the first curb or one or more second curbs.

Abstract: Embodiments for operational envelope detection (OED) with situational assessment are disclosed. In some embodiments, a method comprises: determining at least one current or future constraint for a trajectory of a vehicle in an environment that is associated with the vehicle becoming immobile for an extended period of time; determining a stopping-reason for immobility of the vehicle based on determining the at least one current or future constraint for the trajectory of the vehicle in the environment; identifying a timeout threshold based on the stopping-reason, wherein the timeout threshold is an amount of time a planning system of the vehicle will wait before initiating at least one remedial action to address the immobility; identifying that the timeout threshold is satisfied; and initiating the at least one remedial action for the vehicle based on the identifying that the timeout threshold is satisfied.

Abstract: Techniques for assisting a passenger to identify a vehicle and for assisting a vehicle to identify a passenger are discussed herein. Also discussed herein are techniques for capturing data via sensors on a vehicle or user device and for presenting such data in various formats. For example, in the context of a ride hailing service using autonomous vehicles, the techniques discussed herein can be used to identify a passenger of the autonomous vehicle at the start of a trip, and can be used to assist a passenger to identify an autonomous vehicle that has been dispatched for that particular passenger. Additionally, data captured by sensors of the vehicle and/or by sensors of a user device can be used to initiate a ride, determine a pickup location, orient a user within an environment, and/or provide visualizations or augmented reality elements to provide information and/or enrich a user experience.

Abstract: A work machine control method includes: acquiring a detection position of a landmark detected by a non-contact sensor provided in a work machine in traveling of the work machine traveling on a traveling path; calculating a first relative distance between the non-contact sensor and the landmark on a basis of the detection position of the landmark; calculating a second relative distance between the non-contact sensor and the landmark on a basis of a registration position of the landmark; calculating a correction value relating to a relative distance between the non-contact sensor and the landmark on a basis of the first relative distance and the second relative distance; correcting the first relative distance on a basis of the correction value to calculate a corrected relative distance between the non-contact sensor and the landmark; and controlling a traveling state of the work machine on a basis of the corrected relative distance.

Abstract: A system, method, and computer readable and executable media for detecting, alerting, managing, and optionally mitigating cyber security events on an aircraft's networks using an on-board cyber security appliance and applications that monitors and detects cyber security events in real time. A software selectable cyber security agent within the cyber security appliance mitigates (if enabled) the effects of a cyber security events and/or anomalies on the aircrafts networks while the aircraft is in-flight and/or on the ground.

Abstract: Systems and methods for impact detection in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle impact detection system includes an acceleration sensor, a storage device storing an impact detection application, and a processor, where the impact detection application directs the processor to receive acceleration information using the acceleration sensor, filter the acceleration information to attenuate noise, determine an occurrence of an impact by detecting an acceleration from the acceleration information that exceeds a threshold for a time period, detect an angle of the impact with respect to a forward direction using the acceleration information, and trigger an impact detector signal.

Abstract: A method performed by a surgical robotic system that includes a seat that is arranged for a user to sit and a display column that includes at least one display for displaying a three-dimensional (3D) surgical presentation. The method includes receiving an indication that the user has manually adjusted the seat and in response, determining, while the user is sitting on the seat, a position of the user's eyes, determining a configuration for the display column based on the determined position of the user's eyes, and adjusting the display column by actuating one or more actuators of the display column according to the determined configuration.

Abstract: A method of controlling a mobile work machine on a worksite including receiving an indication of an object detected on the worksite, determining a location of the object relative to the mobile work machine, receiving an image of the worksite, correlating the determined location of the object to a portion of the image, and generating a control signal that controls a display device to display a representation of the image with a visual object indicator that represents the detected object on the portion of the image.

Abstract: A method for measuring an inter-vehicle distance using a processor is provided. The method includes acquiring a driving image photographed by a photographing device of a first vehicle; detecting a second vehicle from the driving image and calculating a ratio between an image width of the detected second vehicle and an image width of a lane in which the second vehicle is located; determining a size class of the second vehicle among a plurality of size classes based on the calculated ratio; determining a width of the second vehicle based on the determined size class of the second vehicle; and calculating a distance from the photographing device to the second vehicle based on the determined width of the second vehicle, a focal length of the photographing device, and the image width of the second vehicle.

Abstract: A method for determining a type of parking space for a motor vehicle includes detecting a target, evaluating an orientation of the target relative to a road, and determining a type of parking space on the basis of the evaluated orientation. The detecting the target is implemented by a frontal camera of the vehicle.

Abstract: A virtual visor system is disclosed that includes a visor having a plurality of independently operable pixels that are selectively operated with a variable opacity. A camera captures images of the face of a driver or other passenger and, based on the captured images, a controller operates the visor to automatically and selectively darken a limited portion thereof to block the sun or other illumination source from striking the eyes of the driver, while leaving the remainder of the visor transparent. The virtual visor system advantageously updates the optical state with blocker patterns that including padding in excess of what is strictly necessary to block the sunlight. This padding advantageously provides robustness against errors, allows for a more relaxed response time, and minimizes frequent small changes to the position of the blocker in the optical state of the visor.

Abstract: A vehicular forward-sensing system includes a radar sensor and a forward viewing image sensor disposed within a windshield electronics module that is removably installed within an interior cabin at a windshield of a vehicle. A control is responsive to outputs of the radar sensor and of the image sensor. The image sensor captures image data for an automatic headlamp control system of the vehicle and for a lane departure warning system of the vehicle. The image sensor views and the radar sensor senses an object present in the path of forward travel of the vehicle. The control determines that the object is an object of interest based at least in part on the image sensor viewing the object present in the path of forward travel of the vehicle and the radar sensor sensing the object present in the path of forward travel of the vehicle.

Abstract: The disclosure includes embodiments for automatically generating a virtual pedestrian for inclusion in a digital simulation. Some embodiments of a method may include automatically generating a virtual pedestrian based on a path specification and a behavior specification. The method may include executing a digital simulation that includes the virtual pedestrian crossing an intersection and a virtual vehicle responding to the virtual pedestrian crossing the intersection, wherein the digital simulation is operable to measure a performance of a virtual Advanced Driver Assistance System (virtualized “ADAS system”) included in the virtual vehicle to protect the virtual pedestrian when responding to the virtual pedestrian crossing the intersection.

Abstract: Methods, devices and systems enable controlling an autonomous vehicle by identifying a vehicle that is within a threshold distance of the autonomous vehicle, determining an autonomous capability metric (ACM) the identified vehicle, determining whether the ACM of the identified vehicle is greater than a first threshold, determining whether the ACM of the identified vehicle is less than a second threshold, and adjusting a driving parameter of the autonomous vehicle so that the autonomous vehicle is more or less reliant on the capabilities of the identified vehicle based on whether the ACM of the identified vehicle exceeds the thresholds.

Abstract: A system and method are provided for performing physical activity monitoring and fall detection of a subject using a wearable sensor including at least one audio sensor and at least one of an accelerometer, a gyroscope and a magnetometer. The method includes monitoring activities of the subject using the at least one of the accelerometer, the gyroscope and the magnetometer, and identifying a characteristic motion pattern based on the monitored activities; detecting an apparent fall experienced by the subject based on the identified at least one characteristic motion pattern; monitoring sounds provided by the at least one audio sensor following the detected apparent fall; determining whether the detected apparent fall is an actual fall experienced by the subject based on the monitored sounds; and communicating an indication of the actual fall to a monitoring system, enabling commencement of responsive action.

Abstract: A system for detecting occupancy of a vehicle travelling in a direction of travel along a road. The system includes a roadside imaging device positioned on a roadside, and a first roadside light emitter, and a roadside vehicle detector. A processor is configured to receive a signal from the roadside vehicle detector, command the first roadside light emitter to emit light according to a first pattern for a first duration, command the roadside imaging device to capture images of the side of the vehicle, and compute a vehicle occupancy, in each of the captured images by determining one or more regions of interest in each of the captured images, and determining a number of visible occupants in the one or more regions of interest. The processor determines a most likely number of occupants based on each determined vehicle occupancy.

Abstract: The present invention provides a method for generating a virtual navigation route, by obtaining multiple navigation points each with a flag data; identifying at least two lanes from a front video data; creating a navigation characteristic image according to the flag data, the navigation points, the front video data, and the at least two lanes, wherein the navigation characteristic image has multiple dotted grids; calculating a probability of a navigation route passing through each dotted grid, and setting the dotted grid with the highest probability calculated in each row of the navigation characteristic image as a first default value; and fitting curves for the grids with the first default value as the navigation route; the navigation route is generated in real time and projected over the front video data using an augmented reality (AR) method, achieving AR effects and navigating with better representation of the traffic.

Abstract: The subject matter described in this specification is generally directed control architectures for an autonomous vehicle. In one example, a reference trajectory, a set of lateral constraints, and a set of speed constraints are received using a control circuit. The control circuit determines a set of steering commands based at least in part on the reference trajectory and the set of lateral constraints and a set of speed commands based at least in part on the set of speed constraints. The vehicle is navigated, using the control circuit, according to the set of steering commands and the set of speed commands.