Abstract: A vehicle controller and a method thereof are provided. The vehicle controller includes a processor that determines whether a driver has an intention to make a lane change using at least one of a steering angle condition, a gaze condition of the driver, or a driving pattern condition of the driver. The processor shares lane change information with a surrounding vehicle, when it is determined that the driver has the intention to make the lane change. The controller also has a storage storing data and an algorithm run by the processor.

Abstract: A driver assistance system includes: an infrared camera provided in a vehicle and configured to acquire infrared image data; a radar sensor provided in the vehicle and configured to acquire radar data; and a controller configured to process at least one of the infrared image data or the radar data, wherein the controller is configured to: identify a target object approaching in a lateral direction from an outside of a driving lane of the vehicle, based on at least one of the infrared image data or the radar data; and perform a collision avoidance control based on a similarity between the target object and a pedestrian.

Abstract: A vehicle control method, vehicle and non-transitory computer readable storage medium that enables a current transmission ratio of a vehicle to be decreased prior to a driver turning a steering wheel so that a larger steering angle of a wheel can be obtained when the driver turns the steering wheel at a smaller angle in emergency driving situations.

Abstract: A system for notifying emergency services of a vehicular crash may (i) receive sensor data of a vehicular crash from at least one mobile device associated with a user; (ii) generate a scenario model of the vehicular crash based upon the received sensor data; (iii) store the scenario model; and/or (iv) transmit a message to one or more emergency services based upon the scenario model. As a result, the speed and accuracy of deploying emergency services to the vehicular crash location is increased. The system may also utilize vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle features, and/or generate virtual reconstructions of the vehicle collision.

Abstract: A method for controlling an inflatable airbag system in a motor vehicle having a seatbelt includes detecting a position of a vehicle occupant relative to an airbag suppression zone (ASZ). Electronic input signals are received from a sensor suite, including an occupant position signal and a seatbelt usage status signal. A restraint capacity setting of the airbag is adjusted in response to the electronic input signals such that corresponding restraint activation logic is executed by the controller based on whether the occupant is belted or unbelted. Different ASZs may be used for belted and unbelted occupants. A motor vehicle includes a vehicle body defining a vehicle interior, an airbag, a seatbelt, a sensor suite for detecting a position of an occupant relative to the ASZ, and a controller operable for controlling a restraint capacity setting and location of the ASZ in accordance with the method.

Abstract: A control device for collision avoidance assistance includes a processor. The processor is configured to execute region setting processing for setting an assistance determination region indicating a particular region forward of a vehicle, and to execute accumulation processing in which the processor gives an object a determination value and accumulates the determination value. The object is located in the assistance determination region. The determination value is decided according to the position of the object. The processor is configured to perform collision avoidance assistance control of assisting in avoidance of collision of the vehicle and the object based on driving environment information indicating a driving environment of the vehicle, when a cumulative value regarding the object calculated in the accumulation processing exceeds a predetermined threshold value.

Abstract: A light distribution control device including: an acquirer acquiring information representing a running status of an assistance operation performed for driving assistance from a driving assistance device performing driving assistance of a subject vehicle based on a recognition result of objects disposed in front of the subject vehicle recognized based on detection results acquired by a plurality of sensors including an optical sensor; and a light distribution controller performing light distribution control including change of an output level of a headlight of the subject vehicle, in which the light distribution controller gently performs change of the output level of the headlight in accordance with running of the assistance operation in the light distribution control.

Abstract: This notifying device is provided with: a notifying unit which detects an object present at the periphery of a vehicle, and notifies a passenger of the presence of the object; and a notification control unit in which a low departure operation, among the operations of an operating unit for operating the vehicle, for which the intention of the driver to depart is estimated to be at most equal to a predetermined threshold, is set in advance, wherein, if the low departure operation is executed while the vehicle is stopped, the notification control unit controls the notifying unit to suppress the level of notifications compared with a situation in which the vehicle is traveling.

Abstract: Disclosed is a collision warning control apparatus that obtains position and speed information of a reference point for a target vehicle at a first time point, determines a position of the reference point at a second time point based on the position and speed information of the reference point for the target vehicle at the first time point, calculates a first overall length of the target vehicle based on the position of the reference point at the second time point, determines a position of the reference point at a third time point, and calculates a second overall length of the target vehicle. The apparatus determines a reference position of the target vehicle at the third time point based on a difference between the first overall length and the second overall length, and controls collision warning for the target vehicle based on the reference position of the target vehicle.

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: Techniques are discussed herein for generating and using graph neural networks (GNNs) including vectorized representations of map elements and entities within the environment of an autonomous vehicle. Various techniques may include vectorizing map data into representations of map elements, and object data representing entities in the environment of the autonomous vehicle. In some examples, the autonomous vehicle may generate and/or use a GNN representing the environment, including nodes stored as vectorized representations of map elements and entities, and edge features including the relative position and relative yaw between the objects. Machine-learning inference operations may be executed on the GNN, and the node and edge data may be extracted and decoded to predict future states of the entities in the environment.

Abstract: A system comprises a first phased array radar assembly configured to be attached to a vehicle. The first phased array radar assembly includes a first plurality of antennas arranged in an array and attached to a circuit board. The system also includes one or more circuits attached to the circuit board. Each of the one or more circuits includes transmitter circuitry communicatively coupled to a subset of the first plurality of antennas and receiver circuitry communicatively coupled to the subset of the first plurality of antennas.

Abstract: A method for detecting airbag deployment includes operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of measurement signals, determining a change in at least one measurement signal of the plurality of measurement signals and that the change exceeds a first threshold. In response to determining that the change exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors, determining a derivative of the pressure measurement signal, and determining that the derivative of the pressure measurement signal exceeds a second threshold. In response to determining that the derivative of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one measurement signal exceeding the first threshold and the derivative of the pressure measurement signal exceeding the second threshold.

Abstract: When a collision avoidance steering control start condition becomes satisfied, a driving support ECU starts a steering control to avoid a collision with a frontward vehicle. The ECU prohibits the steering control when an indicated direction by turn indications of the frontward vehicle is the same as a planned direction of the steering control. The ECU sets the start condition to a first start condition, when the turn indicators of the frontward vehicle are not indicating a turning direction. The ECU sets the start condition to a second start condition, when the indicated direction is different from the planned direction. The first and second start conditions have been set such that an inter-vehicular distance between the host vehicle and the frontward vehicle of when the second start condition can be satisfied is shorter than one of when the first start condition can be satisfied.

Abstract: A method and a system for contactless obstacle detection for a motor vehicle having a front side door and a rear side door, using a single primary obstacle sensor provided on the motor vehicle, preferably in the form of a ToF sensor, which is configured to monitor an opening region of the front side door, and, at least as long as the front side door is closed, also to monitor an opening region of the rear side door, the method comprising the following step, which is carried out repeatedly: determining a current maximum allowed opening angle for the rear side door based on an output of a monitoring of the opening region of the rear side door by the primary obstacle sensor and taking into account a current opening state of the front side door.

Abstract: This invention provides a vehicle control device for controlling a vehicle, which comprises a first detection unit configured to detect an out-of-lane region outside a lane in which the vehicle is traveling; a second detection unit configured to detect an obstacle; and a determination unit configured to determine that performing steering control in the out-of-lane region is approved by a driver when the vehicle enters the out-of-lane region in response to a steering operation by the driver in a case where the second detection unit detects the obstacle, the first detection unit detects the out-of-lane region, and the vehicle and the obstacle have a predetermined relationship.

Abstract: A distance measurement correction device (10) corrects distance measurement information (31) between a sensor (1) and a body. A movement calculation unit (202) calculates respective movement distances of the body with respect to the sensor (1) in a plurality of directions as pieces of movement information (32), on the basis of a difference between distance measurement information (31) measured on a current occasion by the sensor (1) and distance measurement information measured on a previous occasion by the sensor (1). A correction direction extraction unit (203) calculates movement velocities of the body as body movement velocities using the respective pieces of movement information (32) for the plurality of directions and extracts a direction, for which the distance measurement information (31) is to be corrected, as a correction direction (33) from among the plurality of directions, on the basis of the body movement velocities.

Abstract: A control device for controlling a vehicle that includes a headlight switchable between a first state and a second state in which the headlight is able to illuminate farther than in the first state, the control device including: a processing circuitry configured to execute automatic illumination switching control for setting the headlight to the first state or the second state and to execute an out-of-vehicle notification for switching the headlight between the first state and the second state at a predetermined cycle when another vehicle having a possibility to collide with the host vehicle is detected in front of the host vehicle. The processing circuitry executes the automatic illumination switching control in response to a request from a user of the host vehicle, and executes the out-of-vehicle notification in both cases where the automatic illumination switching control is set to be executed and not to be executed.

Abstract: Examples of the disclosure relate to example systems and methods for operating a see-through display for a vehicle. An example system includes a video camera positioned to capture video related to a vehicle structure that blocks a view of the driver. The system also includes a see-through display disposed inside the vehicle between the vehicle structure and the driver. The system also includes a processor configured to determine an eye position of the driver and process the captured video based on the eye position to determine a portion of the captured video to be displayed. The processor is to render the portion of the captured video to create a see-through effect relative to the vehicle structure. To determine the eye position, the processor receives user input for adjusting the portion of the captured video to create a match between the rendered portion and an unobstructed view of the external environment.

Abstract: According to one aspect of the present disclosure, a device and technique for impact detection includes an impact indicator having a housing enclosing a detection assembly where the detection assembly is configured to detect an acceleration event. A module is configured to output data indicative of an activation state of the detection assembly. The indicator also includes logic configured to blockchain the data output by the module.

Abstract: A computer-implemented method for detecting vehicle crashes is presented. The method may include detecting, at a first mobile computing device a condition corresponding to a potential crash of a vehicle. The method may also include operating a beacon receive mode in response to detecting the potential crash condition, and receiving data from a second mobile computing device operating in a beacon transmit mode, the data indicating that the second mobile computing device detected an actual crash condition of the vehicle. The method may further include confirming, based on the potential crash condition and the data received from the second mobile computing device, that the potential crash is an actual crash.

Abstract: The disclosure provides an engine control method, system, and vehicle, and the vehicle comprises a battery and an engine, wherein the method includes: obtaining a current maximum discharge power value of the battery, and a current maximum external characteristic power value of the vehicle; obtaining a current opening value and a current opening change rate of an accelerator pedal of the vehicle; determining a driving intention based on the current opening value and the current opening change rate; and controlling start and stop of the engine according to the driving intention, the current maximum discharge power value, and the current maximum external characteristic power value of the vehicle.

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: A vehicle includes a mobile communication device, where the mobile communication device is connected to a driving unit of the vehicle and controls a traveling speed of the vehicle, which is traveling toward an intersection, in order to avoid a collision of the vehicle at the intersection by receiving analysis result information, which is based on image information from an imaging apparatus provided near the intersection, from an information control device.

Abstract: An information processing device includes a controller, a ride detection device configured to detect a ride of a user, a storage device configured to store action data of the user, an output device configured to output question data for requesting an answer from the user, and an input device configured to receive an input from the user. The controller outputs, from the output device, output data including at least a question regarding an action of the user taken before riding in a vehicle in accordance with positional information of the vehicle when detecting the ride of the user based on a signal acquired from the ride detection device, acquires an answer to the question from the user as input data via the input device, and associates the input data with the positional information of the vehicle or a POI to store the associated data in a storage device.

Abstract: Radar and LiDAR sensors play important roles in autonomous vehicles and ADAS (advanced driving assistance systems) in automobiles, however, they can only detect objects in view (line-of-sight). For example, when three vehicles are driving on road in a same lane, and if the first vehicle suddenly brakes, the third vehicle cannot detect it by regular radar and/or LiDAR because the second vehicle in front blocks the view. This invention discloses system and method to enable radar and/or LiDAR to detect vehicles on road that are blocked in view by another vehicle by specially configured active beacon transmitters, and reduce risks of rear-end collisions.

Abstract: Aspects of the disclosure relate to routing an autonomous vehicle. For instance, the vehicle may be maneuvered along a route in a first lane using map information identifying a first plurality of nodes representing locations within the first lane and a second plurality of nodes representing locations within a second lane different from the first lane. While maneuvering, when the vehicle should make a lane change may be determined by assessing a cost of connecting a first node of the first plurality of nodes with a second node of a second plurality of nodes. The assessment may be used to make the lane change from the first lane to the second lane.

Abstract: Examples disclosed herein relate to a radar system for use in millimeter wave applications. The radar system includes a lighting device, such as a light bulb or an array of light emitting diodes (LEDs). The radar system further includes an array of transmit elements to transmit at least one transmit signal, where at least one transmit signal reflects off of at least one object to generate at least one receive signal. The array of transmit elements is configured around at least a first portion of a perimeter of the lighting device. Also, the radar system includes an array of receive elements to receive at least one receive signal, where the array of receive elements is configured around at least a second portion of the perimeter of the lighting device.

Abstract: A dynamic adaptive cruise control method for a first vehicle includes a controller disposed within the first vehicle identifying a second vehicle in a direction of travel of the first vehicle. The controller determines a distance between the first vehicle and the second vehicle. The controller determines a safe travel distance between the first vehicle and the second vehicle based at least in part on a set of primary factors and a set of secondary factors. The controller modifies a cruise speed of the first vehicle to maintain at least the determined safe travel distance between the first vehicle and the second vehicle.

Abstract: A method for controlling an actuatable safety device (110) for helping to protect a vehicle occupant includes sensing left-front and right-front pressure values via a pressure tube sensor (18). The method also includes executing pressure tube metrics that evaluate the left-front and right-front pressure values and selecting switched crash thresholds in response to the pressure tube metrics. The method also includes sensing vehicle acceleration parameters (99) and executing one or more crash metrics that evaluate the vehicle acceleration parameters to determine whether the switched crash thresholds are exceeded. The method further includes controlling deployment of the actuatable safety device (110) in response to determining that the switched crash thresholds are exceeded. A vehicle safety system (100) implements the method.

Abstract: A system is described to derive local driving behaviors from naturalistic data, which are then incorporated as guidance into the behavioral layer of an Automated Vehicle (AV) for adaptation to local traffic. Moreover, the local driving behaviors are implemented in the AV performance validation process. The techniques facilitate scaling of this process via automatic crowdsourced behavioral data aggregation from human-driven vehicles, as well as ADAS vehicles and autonomous vehicles, and map information. The described techniques also enable the creation of a spatial-behavioral relational database that provides interfaces for efficiently querying geo-bounded local driving information, enabling customization of automated vehicle driving policies to local norms, and enabling traffic behavior analysis.

Abstract: The aerial work platform comprises a chassis 2, a work platform 10 and a lifting structure 20 that comprises at least one boom 26 able to be raised and lowered and a pendular arm 30 mounted at the top end of the boom 26 and supporting the platform 10. It also comprises sensors 51, 52 for detecting the proximity of the platform 10 to an obstacle. On-board electronics automatically puts the aerial work platform in a compact position on request by an operator by controlling the lifting structure 20 according to the signals from the sensors 51, 52 in order to take account of the surroundings. In the compact position, the aerial work platform is suitable for transport on a trailer or flatbed lorry. This avoids the transporter having himself to control the various movements of the lifting structure 20 in order to bring the aerial work platform into the compact transportation position.

Abstract: A rear lateral blind-spot warning system includes a detection sensor installed in a vehicle to sense an obstacle located in a rear blind spot or a lateral blind spot of the vehicle, a sequence setter configured to set the sequence, among multiple predetermined conditions, of determining, based on a sensing range of the detection sensor and the multiple predetermined conditions, whether the conditions are satisfied, and a warning determiner configured to sequentially determine, based on the sequence set by the sequence setter, whether the obstacle sensed by the detection sensor satisfies the multiple predetermined conditions and to determine, based on the result of the determination with regard to satisfaction of the conditions, whether the sensed obstacle is a target to be monitored.

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 intersection violation 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 intersection violation, and (2) the second information indicating the state of the driver.

Abstract: An active landing marker including a housing, a cover panel, a marker panel and an energy source is provided. The cover panel is coupled to the housing, the cover panel made of polarized translucent material. The marker panel is positioned within the housing. The marker panel includes a plurality of selectively positioned energy absorbing sections and a plurality of energy transmission sections. The energy source is contained within the housing. The marker panel being positioned between the energy source and the cover panel. Energy radiated from the energy source passing through the energy transmission sections of the marker panel and through the cover panel generating an active signal marker having a unique marker pattern. The active signal marker aiding in the landing of vehicles during varying environmental conditions.

Abstract: The present invention provides a vector based awareness matrix or system for mimicking a human driver situational awareness and to control a host autonomous vehicle accordingly.

Abstract: Disclosed herein are a method and apparatus for sensing an impact on a vehicle based on an acoustic sensor and an acceleration sensor. The method of sensing an impact on a vehicle may include obtaining information related to an impact sound generated in the vehicle of a user and around the vehicle of the user through an acoustic sensor, obtaining information related to an impact applied to the vehicle of the user through an impact detection sensor, and determining an impact sound directly generated in the vehicle of the user based on the information related to the impact sound and the information related to the impact.

Abstract: A vehicular control system includes a central control module vehicle, a plurality of vehicular cameras disposed at a vehicle and viewing exterior of the vehicle, and a plurality of radar sensors disposed at the vehicle and sensing exterior of the vehicle. The plurality of vehicular cameras includes at least (i) a forward-viewing vehicular camera, (ii) a driver side sideward-viewing vehicular camera and (iii) a passenger side sideward-viewing vehicular camera. The central control module receives vehicle data relating to operation of the vehicle. During a driving maneuver of the equipped vehicle, and responsive at least in part to fusion at the central control module of (i) image data captured by at least the forward-viewing vehicular camera and (ii) radar data captured by at least the front radar sensor, a pedestrian present exterior of the equipped vehicle is detected.

Abstract: A computer-implemented method comprising: receiving sensor data from sensors of a first vehicle associated with a first person, the sensor data generated by the sensors; applying a machine-learning algorithm to the sensor data to define a driving envelope for an assisted-driving system, the assisted-driving system installed in a second vehicle; and providing the driving envelope to the assisted-driving system installed in the second vehicle.

Abstract: A system for enhancing occupant awareness for a vehicle includes a camera system for capturing images of an environment surrounding the vehicle, a display for displaying information to the occupant of the vehicle and a controller in electrical communication with the camera system and the display. The controller is programmed to determine an activation state of the system. The controller is further programmed to capture an image of the environment surrounding the vehicle using the camera system in response to determining that the activation state is the activated state. The image has a first portion and a second portion. The first portion of the image includes a trailer connected to the vehicle and the second portion of the image. The controller is further programmed to display the second portion of the image to the occupant using the display based at least in part on the first portion of the image.

Abstract: An example operation includes one or more of receiving, by a server, characteristics related to a transport within a time period, wherein the characteristics are related to a condition of the transport, an operation behavior of the transport and an upkeep of the transport, providing, by the server, one or more actions to perform by the transport to increase a level of the characteristics, and responsive to the level of the characteristics being increased, determining, by the server, a next use of the transport after the time period.

Abstract: Various aspects of the disclosure relate to a request-response mechanism for sharing sensor information. For example, sensor devices (e.g., in vehicles, fixed structures, or a combination thereof) may selectively share information acquired by the sensor devices. The disclosure relates in some aspects to avoiding redundant transmissions of sensor information. For example, a sensor device of a set of sensor devices may determine which sensor device should transmit information and/or the time(s) at which that sensor device should transmit the information.

Abstract: A collision warning system and method are provided. The system includes an image capturing apparatus, a sensing apparatus, and a computing apparatus. The computing apparatus analyzes a vehicle side image to generate a plurality of objects and an object coordinate corresponding to each of the objects. The computing apparatus calculates an aerial view coordinate corresponding to each of the objects based on the object coordinates and a pitch angle corresponding to the image capturing apparatus. The computing apparatus calculates a predicted collision time between the vehicle and each of the objects based on a vehicle speed, a turning angle, and the aerial view coordinates. The computing apparatus generates a plurality of warning regions and determines a warning scope corresponding to each of the warning regions based on the predicted collision times.

Abstract: The present invention estimates a height of a user by using a rear camera to automatically adjust the opening amount of a tailgate, so as to increase the convenience of an electrically-powered tailgate.

Abstract: An emergency reporting device for a vehicle includes an emergency detector and a communicator. The emergency detector is configured to detect or estimate an emergency including a collision of the vehicle. The communicator is configured to, when the emergency of the vehicle is detected or estimated, transmit information related to the emergency to outside so that a succeeding vehicle receives the information related to the emergency. The communicator is configured to, after the information related to the emergency is transmitted, receive acknowledgment information from the succeeding vehicle about reception of the information related to the emergency.

Abstract: A working machine includes a machine body, a traveling device provided on the machine body, an operation member operable to activate the traveling device, a camera device to capture an image of surroundings of the machine body, a display unit to display the image captured by the camera device, a notification unit to notify a traveling direction of the traveling device, and a controller to control the display unit and the notification unit so that when the operation member is operated to activate the traveling device, the display unit is controlled to display the captured image and the notification unit is controlled to notify the traveling direction. The controller delays either one of a first timing when the display unit starts to display the captured image and a second timing when the notification unit starts to notify the traveling direction later than the other.

Abstract: Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.

Abstract: The present disclosure is directed to driver assistance systems, such as blind sport detection systems, that integrate driver facing imaging devices. In one form, a system includes an imaging device configured to capture images of a face of a driver; at least one sensor positioned on the vehicle and configured to detect a distance from the vehicle to an object; and at least one processor configured to analyze the images and determine that the driver is in a drowsy state; determine, based on information received from the at least one sensor, that a distance between the vehicle and the object is decreasing or that the distance between the vehicle and the object is less than a threshold; and in response to the determinations, provide an alert to the driver of a potential side collision.

Abstract: The present application provides an AI-based system for evaluating an individual's mindfulness (e.g., during prayer) based on video captured of the individual. In one example, the video may be captured via a smart phone. The individual's mindfulness may be continually evaluated from the captured video by observing the individual's body pose and movements. For instance, turning the individual's head to one side or moving the individual's eyes around rapidly can be signs of losing focus. Body pose and movement information of an individual may be derived from the video through AI-based video analytics. The user's body pose and movements may be checked against a set of predefined criteria for mindfulness, and an objective evaluation may be provided. Such evaluation can then be fed back to the individual, for example, to remind the individual whenever they lose focus during prayer.

Abstract: The present invention discloses a system for detecting an obstacle for a vehicle. The system includes an information collection unit that monitors movement information of a vehicle, road information, and location information of the vehicle; a determination unit that determines whether the vehicle enters a special mode in which the vehicle turns and moves backward on a road through the movement information of the vehicle, the road information, and the location information of the vehicle from the information collection unit; and a controller that deactivates a rear monitoring function of either side of the vehicle in response to a determination that the vehicle enters the special mode.