Abstract: A controller for an agent of a group of agents, in particular for a group of autonomous or semi-autonomous vehicles, and to a computer program implementing such a controller. A temporal deep network for such a controller and to a method, a computer program and an apparatus for training the temporal deep network. The controller includes a temporal deep network designed to calculate a desired trajectory for the agent, a nonlinear model predictive controller designed to calculate commands for the agent based on the desired trajectory and desired trajectories of the other agents of the group of agents, and an augmented memory designed to integrate historic system states of the group of agents for the temporal deep network.

Abstract: A lift device includes a chassis, tractive elements, a platform, a lift assembly, a first set of proximity sensors, and a controller. The tractive elements are rotatably coupled to the chassis and support the chassis. The platform is disposed above the chassis and includes a deck for supporting an operator. The lift assembly couples the platform to the chassis and can selectably move the platform between a lowered position and a raised position. The first set of proximity sensors are coupled to the platform and detect a distance of an obstacle relative to the platform. The controller is operably coupled with an alert system and receives obstacle detection data from the first set of proximity sensors. The controller selects a subset of the first set of proximity sensors to analyze based on an active function of the lift device and determines whether the obstacle is within the minimum allowable distance.

Abstract: A method for determining a roll angle (?) of an optoelectronic sensor of a motor vehicle, wherein the optoelectronic sensor comprises at least one transmitter device, at least one receiver unit and at least one evaluation unit is disclosed. The method involves emitting light beams into surroundings of the vehicle by the transmitter device, receiving light beams reflected at an object by the receiver unit, wherein the received light beams are represented by the evaluation unit as scan points in a sensor image of the surroundings of the motor vehicle, wherein the roll angle (?) is determined by the evaluation unit between at least one scan axis and at least one reference axis, wherein the scan axis is formed by at least one scan point of a ground structure and a reference point of the reference axis of the optoelectronic sensor.

Abstract: Systems and methods for predicting actions of an actor before entering a conflicted area are disclosed. The methods may include detecting the presence of an actor in an environment of an autonomous vehicle while the autonomous vehicle and the actor are approaching the conflicted area, determining whether the autonomous vehicle has precedence over the actor for traversing the conflicted area, assigning a kinematic target to the moving object that requires the moving object to come to a stop at an yield point before entering the conflicted area if the autonomous vehicle has precedence over the actor, determining whether a plurality of forecasted trajectories for the actor need to be generated, and controlling movement of the autonomous vehicle to traverse the conflicted area accordingly.

Abstract: A driver assist device and a method for operating the device are provided. The driver assist device includes a processor and a non-transitory storage medium containing program instructions executed by the processor. When a vehicle changes a lane from a traveling lane to a target lane, the processor determines a possibility of collision between the vehicle and another vehicle in the target lane and calculates an expected amount of deceleration of the vehicle with respect to a target vehicle in the target lane when there is no possibility of collision between the vehicle and the another vehicle. The processor compares the calculated expected amount of deceleration of the vehicle with a deceleration criterion, and determines whether to perform lane change assist control based on the comparison result.

Abstract: The vehicle control system is configured to execute autonomous driving and collision avoidance assistance. The autonomous driving is a process in which an ego-vehicle is autonomously driven based on necessary information for traveling including map information and information on a surrounding environment of the ego-vehicle. The collision avoidance assistance is a process in which the ego-vehicle is operated to avoid a collision in response to that a risk of collision of the ego-vehicle with a forward obstacle exceeds a threshold. The vehicle control system is configured to lower the threshold when the ego-vehicle travels, by the autonomous driving, in an area in which either one of an ego-lane and an opposite lane adjacent to the ego-lane is not travelable.

Abstract: The present disclosure relates to a motor vehicle including at least one optical surroundings sensor which has a detection range in a detection direction. The motor vehicle further includes a deflection arrangement for the surroundings sensor. The deflection arrangement includes an optical arrangement configured to deflect the detection direction and the entire detection range, and an adjustment device configured to move the optical arrangement into and out of the detection range of the surroundings sensor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that determine yield behavior for an autonomous vehicle. An agent that is in a vicinity of an autonomous vehicle can be identified. An obtained crossing intent prediction characterizes a predicted likelihood that the agent intends to cross a roadway during a future time period. First features of the agent and of the autonomous vehicle are obtained. An input that includes the first features and the crossing intent prediction is processed using a machine learning model to generate an intent yielding score that represents a likelihood that the autonomous vehicle should perform a yielding behavior due to the intent of the agent to cross the roadway. From at least the intent yielding score, an intent yield behavior signal is determined and indicates whether the autonomous vehicle should perform the yielding behavior prior to reaching the first crossing region.

Abstract: Techniques are disclosed for systems and methods to provide graphical user interfaces for assisted and/or autonomous navigation for mobile structures. A navigation assist system includes a user interface for a mobile structure comprising a display and a logic device configured to communicate with the user interface and render a docking user interface on the display. The logic device is configured to monitor control signals for a navigation control system for the mobile structure and render the docking user interface based, at least in part, on the monitored control signals. The docking user interface includes a maneuvering guide with a mobile structure perimeter indicator, an obstruction map, and a translational thrust indicator configured to indicate a translational maneuvering thrust magnitude and direction relative to an orientation of the mobile structure perimeter indicator.

Abstract: Techniques for determining whether to yield a vehicle to an oncoming object based on a stationary object are discussed herein. A vehicle can determine a drivable area in an environment through which the vehicle is travelling. A trajectory associated with the vehicle can be determined. A probability that the oncoming object will intersect a drive path associated with a vehicle trajectory can be determined. In some case, the probability can be based on various distance metric(s) (e.g., dynamic distance metrics) of the environment. If the oncoming object is determined to intersect the drive path, a stopping location for the vehicle can be determined to allow the oncoming object to traverse around the stationary object. The vehicle can be controlled based on sensor data captured by the vehicle and the probability.

Abstract: A vehicle safety system for helping to protect a pedestrian in the event of a vehicle frontal collision with the pedestrian includes a plurality of crash sensors for sensing a vehicle frontal collision, an actuatable pedestrian protection device, a controller for controlling actuation of the pedestrian protection device, and at least one active sensor for determining the presence of a pedestrian in the path of the vehicle.

Abstract: An object estimation device includes an acquisition unit and an estimation unit. The acquisition unit acquires a space image including an object present in a space. The estimation unit estimates image region data on the basis of a portion or all of the space image including the object. The image region data indicates a location of the object in the space image. On the condition that the object included in the space image acquired by the acquisition unit is included in an oblique posture, the estimation unit estimates an image region widened from an image region of the object included in the oblique posture in the space image, as the image region data.

Abstract: This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a road layout based on a Frenet-Serret coordinate system of the road for the vehicle. The trajectory of the vehicle is combined with the road layout to predict an aerial view of the road, and the aerial view of the road is used to at least partially autonomously drive the vehicle. In some embodiments, the machine learning model is applied to process the forward-facing view to determine a first location of each of an obstacle vehicle in the Frenet-Serret coordinate system. The first location of the obstacle vehicle is converted to a vehicle location on the aerial view of the road.

Abstract: A radar device comprises a radar circuit configured to transceive first radar signals that occupy a first frequency band and second radar signals that occupy a second frequency band. An antenna device of the radar device comprises a first set and a second set of antennas and is configured to selectively transduce the first radar signals via the first set and not via the second set and to selectively transduce the second radar signals via the second set and not via the first set. A processing device of the radar device detects from the first radar signals target reflections via first propagation channels and from the second radar signals target reflections via second propagation channels. The signal processing device jointly evaluates the target reflections via the first and second propagation channels to form a common virtual antenna array for determining an angular position of a target object.

Abstract: The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.

Abstract: Provided are a lane change information sharing device and a vehicle with which information for making a lane change can be shared between vehicles forming a vehicle group. The lane change information sharing device is equipped with: a determination section for determining, when a first vehicle forming a vehicle group changes lanes from a first lane to a second lane, which is adjacent to the first lane, whether an obstruction exists in a virtual route from the first lane to the second lane of the first vehicle; and an information-sharing control execution section for executing a control for transmitting information about the first possible lane change region, which is a region that can be used by the first vehicle when the first vehicle changes lanes from the first lane to the second lane, to a second vehicle forming the vehicle group together with the first vehicle, when the determination section has determined that no obstruction exists.

Abstract: The disclosure relates to a collision risk reduction device and method. According to the disclosure, a device for reducing a risk of collision comprises a receiver receiving, from a sensor, object information, an interval setting unit setting an interval predetermined in left and right directions of a traveling direction of the host vehicle, as a first reference interval, and setting an interval, which is a predetermined length larger than the first reference interval, as a second reference interval, a controller determining a type of the object based on the object information if the object approaches within the second reference interval and setting an alarm including the type and location of the object and, if the object approaches within the first reference interval, setting an alarm for avoiding collision with the object based on the type of the object, and an output unit outputting the set alarms.

Abstract: The present invention provides an advanced driver assistance system for assisting a driver of a vehicle. The system comprises a sensor unit, a processing unit and a display unit. The sensor unit is configured to sense an environment of the vehicle. The processing unit is configured to determine, based on a sensing output, at least one feature of the environment. The processing unit is configured to determine, for a current time, a risk zone of the feature, by estimating, based on at least one parameter of the vehicle at the current time, at each virtual position of two or more virtual positions of the vehicle a respective risk with regard to the feature; and by forming the risk zone based on the two or more risks. The display unit is configured to display the environment of the vehicle with the feature and the risk zone of the feature.

Abstract: A driver assistance apparatus being configured to generate a list of objects, each object being located in a vicinity of the vehicle and each object having been identified using data from at least one object sensor on the vehicle. The apparatus also searches for lane markings on a road on which the vehicle travels using data from at least one lane marking sensor on the vehicle. Finally, a region of interest (“ROI”) is established on the basis of at least one detected lane marking, wherein the ROI includes an ROI ego lane, an ROI left lane and an ROI right lane. A corresponding method is also provided.

Abstract: Disclosed herein are systems and methods for optimizing air traffic control managing using a Quantum Annealing-based iterative path planning technique and algorithm that involves both classical and quantum computation components. The classical component can calculate the distances between aircraft and the target destination from a set of new, possible properties, such as aircraft location. The quantum component can select from the new, possible properties to minimize the distance of the aircraft to the target destination while ensuring adequate separation between aircraft. The algorithm can utilize qubits to represent maneuverability options for aircraft. The maneuverability options may be partitioned into a set of multiple qubits per aircraft. Each set may include a plurality of qubits that are representative of the sub options. The algorithm can utilize Quadratic Unconstrained Boolean Optimization (QUBO) to find the lowest cost-energy maneuverability option.

Abstract: Techniques are provided for extended object tracking using RADAR return points only. The techniques include receiving the return points from at least one RADAR sensor of the vehicle. One or more clusters based on or from the return points are generated. An estimated position and velocity of each of the one or more clusters is computed. A Recursive Least Squares (RLS) based algorithm is proposed to estimate the instantaneous velocity of a cluster in real-time that allows for accurate track-cluster association, removes the need to perform computationally expensive non-linear state updates, and allows for the estimation of the true velocity even in frames with a large amount of clutter. If it is determined that the one or more clusters are associated with an existing object track, the existing object track is updated using at least the respective positions of the one or more clusters associated with the existing object track.

Abstract: A method for determining an avoidance path of a motor vehicle includes the steps of:—acquiring data relating to an obstacle located in the surroundings of the motor vehicle by means of a detection system,—determining a final position to be reached according to the position of the obstacle and an initial position of the motor vehicle,—calculating a theoretical impact position located between the initial position and the final position, and—developing the avoidance path such that the motor vehicle passes through the initial position and the final position and avoids the theoretical impact position around the outside.

Abstract: The present subject matter especially relates to a travelling control apparatus, a corresponding travelling control method, an own vehicle including the travelling control apparatus, and a computer program product which is adapted to carry out the travelling control method. There is optimized the use of computational resources and the driving comfort is increased.

Abstract: A vehicle indication device includes: a road surface drawing unit mounted on a vehicle and configured to draw one or more notification indications by light on a road surface in a direction of travel of the vehicle; and a control unit configured to, when a turn signal of the vehicle is on, cause the road surface drawing unit to either draw the one or more notification indications in a first color on the road surface or turn off display of the one or more notification indications in a case where the vehicle gives way to a pedestrian, and cause the road surface drawing unit to draw the one or more notification indications in a second color different from the first color on the road surface in a case different from the case where the vehicle gives way to a pedestrian.

Abstract: An apparatus, system and method of operating an autonomous mobile robot having a height of at least one meter. The robot body; at least two three-dimensional depth camera sensors affixed to the robot body proximate to the height, wherein the sensors are directed toward a floor surface and, in combination, comprise a substantially 360 degree field of view of the floor surface around the robot body; and a processing system for receiving pixel data within the field of view of the sensors; obtaining missing or erroneous pixels from the pixel data; comparing the missing or erroneous pixels to a template, wherein the template comprises at least an indication of ones of the missing or erroneous pixels indicative of the robot body and a shadow of the robot body; and outputting an indication of obstacles in or near the field of view based on the comparing.

Abstract: An apparatus includes at least one camera configured to capture an image of a traffic lane in front of a vehicle. The apparatus also includes a radar transceiver configured to detect one or more target vehicles proximate to the vehicle. The apparatus further includes a path prediction and vehicle detection controller configured to determine first parameters for predicting a path of the vehicle; determine second parameters for predicting the path of the vehicle; predict the path of the vehicle using a combination of the first parameters and the second parameters, where the combination is weighted based on a speed of the vehicle; identify one of the one or more target vehicles as a closest in path vehicle based on the predicted path of the vehicle; and activate at least one of a braking control and a steering control based on a proximity of the identified closest in path vehicle.

Abstract: A method for operating an at least temporarily unmanned aircraft, wherein a flight is performed according to a prior flight plan in an airspace controlled by a control instance. A flight direction is determined during the flight via a control device influenced via a data connection by a control instance. The data connection is temporarily unavailable, and a hazardous or emergency situation requiring deviation from the flight plan, is identified by the control device based on first sensor data. An avoidance route is determined by the control device based on a second sensor data, the avoidance route including a avoidance manoeuvre avoiding the hazardous or emergency situation, the avoidance route is used in the meantime to fly towards a destination area with the least possible volume of air traffic; and the necessary avoidance manoeuvre(s) are performed based on the second data by the control device in an autonomous staggering procedure.

Abstract: A method and system for estimating road lane geometry includes a camera-estimated lane segment, for estimating lane geometry based on camera detection of road markings and a leading-vehicle-estimated lane segment, for estimating lane geometry based on traces of at least one leading vehicle. Estimated road geometry is obtained from a combination of the camera-estimated lane segment and the leading-vehicle-estimated lane segment.

Abstract: A system includes at least partially autonomous vehicles, at least partially separated interconnected roadways, and a management system. Each of the vehicles is configured to cooperate with another vehicle or an area controller. The management system is configured to receive requests to transport, which may have respective start points and respective destinations. Additionally, the management system is configured, responsive to receiving the request, to assign a vehicle to fulfill the request. The assigned vehicle is configured to transport a person from the respective start point, at least in part via the interconnected roadways, to the respective destination.

Abstract: A mobile object monitoring system that includes one or more terminal units and a monitoring unit that monitors an unknown mobile object around the one or more terminal units. Each terminal unit includes: an information acquisition component that acquires unknown mobile object information; a detected information generation component that generates a detected information set concerning an unknown mobile object; and a terminal-side communication component that transmits the detected information set. The monitoring unit includes: a collecting-side communication component that receives the detected information set; and a determination component that determines presence or absence of an unknown mobile object based on a collection of one or more detected information sets that have been received.

Abstract: The present disclosure relates to a system and method for executing safe-return of an Unmanned Aerial Vehicle (UAV) moving along a path having a plurality of communication waypoints in the event of a communication failure. In an aspect, the proposed method can include the steps of detecting, at the UAV, a communication failure; enabling the UAV to return to last healthy communication waypoint location; and based on status of the communication failure, enabling the UAV to return to its home location.

Abstract: Methods and systems for unmanned aerial vehicles are provided. One method includes receiving, by a control system, sensor data from a mobile ground-based platform and sensor data from a ground-based radar surveillance system, the control system configured to communicate with a first UAV and a second UAV; detecting, by the control system, an object likely to impede the second UAV flight within a flight path, the object detected based on the sensor data received from the mobile ground-based platform, the ground-based radar surveillance system or both the ground-based radar surveillance system and the mobile ground-based platform; generating, by the control system, an indicator indicating an object in the flight path; and transmitting, by the control system, the indicator to the first UAV.

Abstract: A vehicle speed control method, the method comprises: when a vehicle body is in a normal state, determining a first vehicle speed of the vehicle body based on road safety information; acquiring a driving segment of the vehicle body, and determining a pose variation amount of the vehicle body within the driving segment; determining a tangential acceleration of the vehicle body within the driving segment according to a correlation between the pose variation amount of the vehicle body and the tangential acceleration of the vehicle body; when the tangential acceleration of the vehicle body reaches a preset maximum tangential acceleration, determining a second vehicle speed of the vehicle body; and determining whether the second vehicle speed is smaller than the first vehicle speed, and if the second vehicle speed is smaller than the first vehicle speed, determining the second vehicle speed to be a target vehicle speed.

Abstract: The present disclosure is directed to a computer-assisted or autonomous driving (CA/AD) vehicle with a controller to control one or more light emitters to produce a light pattern that uniquely identify the vehicle. It may also be directed to a system to receive image data from one or more video cameras located in a location vicinity of the CA/AD vehicle emitting a pattern of light, and to analyze the received image data to determine a physical location of the vehicle.

Abstract: A vehicle driving assist system includes a storage, an autonomous sensor, a traveling environment recognizer, and a controller. The storage contains map information on an intersection where at least one intersecting road intersects at grade with a traveling road of an own vehicle. The autonomous sensor detects information on the traveling road positioned in front of the own vehicle. The traveling environment recognizer recognizes the detected information on the traveling road. The controller determines, before reaching the intersection, whether the intersecting road is a blind spot depending on presence or absence of a view-blocking object, on the basis of the recognized information on the traveling road, and changes, if the intersecting road is determined as being a blind spot, a lateral position shift amount of a course of the own vehicle in a direction away from the intersecting road when the own vehicle passes through the intersection.

Abstract: An improved, efficient method for mapping world points from an environment (e.g., points generated by a LIDAR sensor of an autonomous vehicle) to locations (e.g., pixels) within rolling-shutter images taken of the environment is provided. This improved method allows for accurate localization of the world point in a rolling-shutter image via an iterative process that converges in very few iterations. The method poses the localization process as an iterative process for determining the time, within the rolling-shutter exposure period of the image, at which the world point was imaged by the camera. The method reduces the number of times the world point is projected into the normalized space of the camera image, often converging in three or fewer iterations.

Abstract: Provided is a vehicle control system for avoiding a collection between a right-turning vehicle and a straight-through vehicle without decreasing comfort for an occupant. In the system, a first vehicle V1 and a second vehicle V2 retain high-precision map data for identifying a traveling lane. When the first vehicle V1 traveling in an autonomous driving mode intends to turn right from a right turn lane at an intersection ahead based on the high-precision map data, the first vehicle V1 transmits a right turn notification indicating the intention to turn right to nearby vehicles using vehicle-to-vehicle communications. When the second vehicle V2 traveling in an autonomous driving mode intends to travel straight at an intersection ahead, the second vehicle V2 recognizes a right-turning vehicle in an oncoming lane at the intersection upon receiving the right turn notification from the right-turning vehicle, and performs a predetermined control for collision avoidance.

Abstract: A sensor detects an obstacle to a vehicle. An alert device provides alert information for inquiring a passenger to determine whether to continue automatic driving when a distance between the obstacle and an end of the lane is equal to or larger than a width necessary for travel based on a width of the vehicle. An input device receives a passenger's manipulation to continue automatic driving in response the inquiry provided from the alert device. A command output unit outputs a command to ease lane-based restriction on continuation of automatic driving to an automatic driving control device when the manipulation in response is received.

Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.

Abstract: Method and systems for generating vehicle motion planning model simulation scenarios are disclosed. The system receives a base simulation scenario with features of a scene through which a vehicle may travel. The system then generates an augmentation element with a simulated behavior for an object in the scene by: (i) accessing a data store in which behavior probabilities are mapped to object types to retrieve a set of behavior probabilities for the object; and (ii) applying a randomization function to the behavior probabilities to select the simulated behavior for the object. The system will add the augmentation element to the base simulation scenario at the interaction zone to yield an augmented simulation scenario. The system will then apply the augmented simulation scenario to an autonomous vehicle motion planning model to train the motion planning model.

Abstract: A system for use with an autonomous vehicle includes one or more processors configured to receive one or more inputs from a driver and to control the autonomous vehicle based on the one or more inputs. Each input is indicative of an anticipated driver response to a driving incident.

Abstract: A method for controlling operation of a wood-handling device in a work machine. The wood-handling device is attached through a rotation device to an end of a set of booms of the work machine to create a desired orientation of the wood-handling device for the operation. The orientation of the wood-handling device using the rotation device is tied on the basis of the operation to be performed using the set of booms. The orientation of the wood-handling device is tied to the position of the end of the set of booms. The position of the end of the set of booms is defined while performing the operation, on the basis of the position of the end of the set of booms. The wood-handling device is oriented using the rotation device, according to the said tie.

Abstract: A sensor pod system includes one or more sensor pods with a plurality of sensors configured to collect data from an environment. A sensor pod may include a housing and extend from a portion of a body of a vehicle. The sensor pod housing may have energy absorbing structures configured to absorb and dissipate energy during an impact in order to protect a pedestrian.

Abstract: A control unit performs a lane departure suppression control when a host vehicle is about to depart from a traveling lane. The control unit determines whether a low impact collision has occurred. The control unit performs a secondary collision damage mitigation control when the low impact collision is determined to have occurred while the lane departure suppression control is being performed.

Abstract: Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking profile, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking profile and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.

Abstract: A method is disclosed. A data set including: (a) identifiers of a set of incidents occurring within a defined geographic region to which at least one service provider responded during a first time period and (b) address data identifying a location within the geographic region of each said incident of the set is retrieved over a network. An instruction to generate a heat map of the incidents occurring within the geographic region during the first time period is received from a user via a user interface generated to a display device. In response to the instruction to generate the heat map, the address data is converted to GPS data. A heat map of an aerial view of the geographic region based on the GPS data is generated. The heat map is displayed to the display device in a user interface.

Abstract: A system for illuminating an area around a motor vehicle, having: a pair of radar systems and a pair of lighting systems mounted on the motor vehicle; a vehicle level sensor configured to detect changes in pitch or roll of the motor vehicle; and an illumination control system in the motor vehicle. The illumination control system includes a key fob communication system and determines the location of a person by detecting the person approaching the motor vehicle by detecting the presence of the key fob while also detecting the location of the person with a radar system mounted on the vehicle. Next, when the location of the person has been determined, the illumination system lights up the area the person is standing while following movement of the person with the radar system to continuously re-directing the illumination towards the location on the ground where the person is standing as the person moves.

Abstract: A vehicle control device includes a communication unit configured to communicate with a plurality of autonomous driving vehicles configured to perform autonomous traveling, and a processor. The processor is configured to, when an abnormality occurs in or around at least one first autonomous driving vehicle among the plurality of autonomous driving vehicles, determine a travel instruction for controlling traveling of the first autonomous driving vehicle, transmit the travel instruction to the first autonomous driving vehicle via the communication unit, set a priority representing the degree of the priority in which an instruction operator is notified of the travel instruction in the order determined according to the content of the abnormality, notify any one of at least one instruction terminal of the determined travel instruction in the order of highest priority, and receive a result of checking the determined travel instruction from the instruction terminal.

Abstract: Disclosed is a driving assist apparatus which executes a process for collision avoidance when the possibility of collision of a vehicle with an obstacle is high. When the steering angle of the steering wheel is greater than an angle threshold, the apparatus determines that a driver is trying to avoid the collision by operating the steering wheel and does not execute the collision avoidance process. When the vehicle is making a right turn or a left turn, there arises a possibility that the collision avoidance process is not executed even in a situation where the collision avoidance process must be executed. In view of this, when the vehicle is making a right turn or a left turn, the angle threshold mentioned above is set to a larger value as compared with the case where the vehicle is not making a right turn or a left turn.

Abstract: A target detection method based on fusion of vision, lidar and millimeter wave radar comprises: obtaining original data detected by a camera, a millimeter wave radar, and a lidar, and synchronizing the millimeter wave radar, the lidar, and the camera in time and space; performing a calculation on the original data detected by the millimeter wave radar according to a radar protocol; generating a region of interest by using a position, a speed, and a radar reflection area obtained from the calculation; extracting feature maps of a point cloud bird's-eye view and the original data detected by the camera; projecting the region of interest onto the feature maps of the point cloud bird's-eye view and the original data detected by the camera; fusing the feature maps of the point cloud bird's-eye view and the original data detected by the camera, and processing a fused image through a fully connected layer.