Abstract: A vehicular safety system includes a plurality of vehicular cameras disposed at a vehicle. Image data captured by a forward-viewing vehicular camera of the plurality of vehicular cameras is processed by the vehicular safety system for headlamp control and for lane departure warning and/or object detection. At least one other sensing system of the vehicle is operable to capture sensor data. Responsive at least in part to processing by the vehicular safety system of captured image data and captured sensor data, a potential collision involving the vehicle is determined. Responsive to determination of the potential collision involving the vehicle, a safety feature of the vehicle changes its condition. If actual collision does not occur, the safety feature returns to its condition that existed prior to determination of the potential collision.

Abstract: A method of decelerating a plurality of vehicles along a roadway may include, at a first vehicle, receiving, from an adjacent downstream vehicle, a first braking initiation signal and a first deceleration value indicating a deceleration rate of the adjacent downstream vehicle, determining a first distance to the adjacent downstream vehicle, and determining, based at least in part on the first distance, a second deceleration value configured to prevent the first vehicle from colliding with the adjacent downstream vehicle. The method may further include in accordance with a determination that the second deceleration value is greater than or equal to an upper deceleration value, decelerating at the upper deceleration value, and, in accordance with a determination that the second deceleration value is less than the upper deceleration value and greater than a lower deceleration target, decelerating at the second deceleration value.

Abstract: A driver assistance apparatus is configured to carry out processing including: detecting a moving body and surrounding environment around the vehicle; predicting driving actions of the moving body detected; calculating collision risks between the moving body and the vehicle after a predetermined period of time, for the respective driving actions predicted of the moving body, on the basis of distances between the moving body and the vehicle after the predetermined period of time and probabilities that the moving body takes the respective driving actions; and setting a driving condition of the vehicle that provides a smallest one of the collision risks.

Abstract: An object recognition device having a distance measurement sensor mounted on an own vehicle and detects the distance to the object an own vehicle location detector that detects an own vehicle position an object detector that detects the object position based on the distance data and the own vehicle position, and an object distinguisher that distinguishes whether the object is a static object or a moving object based on a distance data, a vehicle position, and an object position wherein the static object distinguished by the object distinguisher is recognized as a static object to be detected, it is possible to reduce the annoyance given to a human such as a driver before guiding the vehicle to the target parking position without erroneously recognizing the target parking space.

Abstract: Techniques for determining relevant objects in an environment around a vehicle are discussed herein. Sensor data can be captured and input to a model to determine predicted object trajectories and associated probabilities. For a candidate trajectory for the vehicle to follow, regions of overlap between the vehicle trajectory and the predicted object trajectories can be determined. An interaction graph can be generated representing interactions between the candidate trajectory and the predicted object trajectories. The interaction graph can be sampled based on the probabilities and/or other characteristics. Samples from the interaction graph can be used to determine relevant objects in a driving scenario for a vehicle traversing an environment. Based on the sample, the vehicle may generate a relevancy score associated with the sample. The vehicle may determine that a number of the most relevant sample scenarios may be sent to a prediction component and control of the vehicle.

Abstract: A method is provided for the automatic control of a drivable, mobile medical device having a collision control system that has at least one LiDAR sensor. The method includes: locomotion of the device at a first speed, periodic joint scanning of at least one part of the surroundings of the device; using the at least one LiDAR sensor during the locomotion of the device; evaluating the scan data of the surroundings that has been recorded by the LiDAR sensor; and evaluating the scan data of the specified device section, the scan data being recorded by the LiDAR sensor in such a manner that a functional capability of the LiDAR sensor is tested and the speed of the device is controlled in a closed-loop manner depending on the result of the evaluations.

Abstract: A map management system stores map information used by an automated driving vehicle. The automated driving vehicle detects an obstacle based on the map information, or acquires a margin distance when stopping in front of an obstacle based on the map information. When requiring a remote operator's decision about an action with respect to the obstacle, the automated driving vehicle issues a support request that requests the remote operator to give support. The map management system acquires an operator instruction to the automated driving vehicle issued by the remote operator in response to the support request. The map management system estimates a type of the obstacle based on a state of acquisition of the operator instruction or a content of the operator instruction. Then, the map management system updates the map information according to the type of the obstacle.

Abstract: Methods and systems for a powertrain power management in a vehicle with an electric motor, and an engine are disclosed. The methods and systems involve a powertrain that is operatively coupled to the engine and the electric motor, and an optimizer module operatively coupled to the powertrain. The optimizer module receives an operator information to travel a route from a remote management module, receives current route information for the route from a mapping application in response to the operator information, measures current vehicle status information for the hybrid vehicle, and decides a power management strategy for the vehicle based on the current route information and the current vehicle status information.

Abstract: To increase steering angle followability of automatic steering, provided is a driving assistance device for executing collision avoidance control of controlling a steering angle of an own vehicle such that the own vehicle travels along a target trajectory which enables the own vehicle to avoid a collision with an obstacle. The driving assistance device includes: a setting unit configured to set a target steering angle, and to set a target steering torque for matching the steering angle with the target steering angle; a cancellation unit configured to set a cancellation torque which cancels a total steering torque obtained by summing a driver steering torque and a steering assist torque set based on the driver steering torque; and a control unit configured to execute steering control of controlling the steering angle based on a torque control amount obtained by adding the target steering torque to the cancellation torque.

Abstract: A multiple detection system is applied to a vehicle and includes a contact-type detection module adapted to generate a contact-type detection datum, a contactless-type detection module adapted to generate a contactless-type detection datum, and an operation processor electrically connected with the contact-type detection module and the contactless-type detection module in a wire manner or in a wireless manner. The operation processor sets at least one of the contact-type detection datum and the contactless-type detection datum according to an environmental status of the vehicle to be a main detection result of the multiple detection system, and further sets the other detection datum to be an auxiliary detection result of the multiple detection system, for acquiring a passenger feature inside the vehicle.

Abstract: The disclosure relates improving correctional officer safety. A system can include a first camera facing a region of a correctional facility including monitored objects, the first camera configured to generate first pixel data including first pixels corresponding to the objects, a second camera in the correctional facility and facing away from the region, the second camera configured to generate second pixel data including second pixels corresponding to a person that approaches the region, and a server configured to receive the first and second pixel data through a network connection, transmit the received data to a recognition service through the network, and receive an alert from the alert service that indicates a monitoring rule associated with an object of the objects is violated, an identification associated with the person, a last known location of the person or the object, and an indication of the monitoring rule violated.

Abstract: An information processing apparatus includes an input interface, a processor, and an output interface. The input interface obtains observation data obtained from an observation space. The processor detects a detection target included in the observation data. The processor maps coordinates of the detected detection target as coordinates of a detection target in a virtual space, tracks a position and a velocity of a material point indicating the detection target in the virtual space, and maps coordinates of the tracked material point in the virtual space as coordinates in a display space. The processor sequentially observes a size of the detection target in the display space and estimates a size of a detection target at a present time on a basis of observed values of a size of a detection target at the present time and estimated values of a size of a past detection target.

Abstract: To provide a positioning apparatus which can reduce the error of the positioning information of the positioning satellite, by using either appropriate one of the positioning reinforcement information by the ground channel or the positioning reinforcement information by the satellite channel, according to execution state of the automatic driving. A positioning apparatus receives positioning information from positioning satellites; calculates a first own position based on the positioning information and the positioning reinforcement information of the ground base station; calculates a second own position based on the positioning information and the positioning reinforcement information of the satellite; determines either the first own position or the second own position to be used, based on whether or not the driving mode is the automatic driving mode; and outputs the first own position or the second own position determined to be used, as a final own position.

Abstract: Movement of vehicles through an intersection relative to one another is actively coordinated. The coordination includes sharing data among the vehicles using Vehicle-to-Everything messaging technology. The shared data is used to sequence the movement of the vehicles through the intersection.

Abstract: A system and method for alerting when a trend vector associated with a traffic aircraft is predicted to intercept a travel route of an ownship aircraft. A control module receives real-time aircraft state data, flight plan data, and traffic data associated with the traffic aircraft. The control module processes these data and constructs the travel route of the ownship aircraft from the current location to the intended destination The control module generates the trend vector associated with the traffic aircraft, predicts a location of an intersection of the trend vector and the travel route, determines an amount of time it will take for the ownship aircraft to reach the location of the intersection, and generates display commands that cause the display device to generate an alert that visually distinguishes the location on the image based at least in part on the amount of time.

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 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 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 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: 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: 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 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: 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: 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: 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: 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 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: 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 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: 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: 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: 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: 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: 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: 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 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: 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 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: 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.