Abstract: Methods and devices for controlling operation of a Self-Driving Car (SDC) are disclosed. The method includes, at a first moment in time during an approach of the SDC to a crosswalk: identifying, an object-inclusion zone in proximity to the crosswalk, determining presence of an object in the object-inclusion zone, determining an interval of time for the object based on movement data of the object, using the interval of time and movement data of the SDC for determining operation-control data for controlling operation of the SDC, and assigning decision data to the object-inclusion zone indicative of a decision.

Abstract: A trajectory planning method for lane changing of a vehicle includes steps of: calculating a current position of a reference point of the vehicle on a preliminary lane change trajectory that is received from an LCA system of the vehicle at a current time point; based on kinematics data received from an IMU of the vehicle, calculating longitudinal and lateral displacements of the reference point moving during a unit of time from the current time point to a next time point, and a yaw angle of the vehicle at the next time point; and obtaining a calibrated lane change trajectory based on the preliminary lane change trajectory, the current position, the longitudinal and lateral displacements, and the yaw angle.

Abstract: A method, apparatus, and system for executing a lane change is disclosed. That an ADV is in a lane changing region for an anticipated lane change into a neighboring target lane in a first direction is determined. The first direction is either a left direction or a right direction in a direction of travel of the ADV. A reference line is moved toward the target lane in the first direction at a predetermined rate while the reference line is kept within a current lane of the ADV. A gap in traffic for the anticipated lane change is searched for. Thereafter, in response to finding the gap in traffic for the anticipated lane change, the ADV is controlled to complete the lane change into the target lane.

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

Abstract: A method of controlling a vehicle includes obtaining, by a camera, an image of a road ahead; recognizing, by a controller, a curvature of a front lane from the obtained road image; obtaining, by the controller, position information and speed information of another vehicle based on obstacle information detected by an obstacle detector; periodically storing, by a storage, driving speed information, yaw rate information, and steering angle information while driving; recognizing, by the controller, a curvature of a rear lane based on the periodically stored driving speed information, yaw rate information, and steering angle information in response to determining that a lane change is necessary; determining, by the controller, a lane change possibility based on the recognized curvature of the front lane, the recognized curvature of the rear lane, and the position information and speed information of the other vehicle; and controlling, by the controller, at least one of steering, deceleration, and acceleration base

Abstract: A method for coordinating a vehicle group having a number of vehicles, the vehicles of the vehicle group moving with specified setpoint distances to one another on a traffic lane and communicating wirelessly with one another via V2X communication, the specified setpoint distance being set by the respective vehicle by an adaptive cruise control system, includes: specifying the setpoint distances such that the vehicle group is permanently divided into a defined number of at least two partial vehicle groups and a guide partial vehicle group is followed by at least one following partial vehicle group, at least each following partial vehicle group being assigned its own guide vehicle, the guide vehicle of the respective following partial vehicle group leading the respective following partial vehicle group as the first vehicle; and specifying a setpoint distance for the guide vehicle of the respective following partial vehicle group.

Abstract: A method for coordinating a vehicle group having a number of vehicles, the vehicles moving with specified setpoint distances to one another on a traffic lane and communicating wirelessly with one another via V2X communication, the specified setpoint distance being set by the respective vehicle by an adaptive cruise control system, the setpoint distances being defined such that the vehicle group is at least temporarily divided into a number of at least two partial vehicle groups, an ingress distance being at least temporarily set between the partial vehicle groups such that, between the respective partial vehicle groups, an intermediate space forms into which at least one vehicle which is ready to cut in and which has a vehicle length can move, and a group following distance which is smaller than the ingress distance being set between the vehicles within a partial vehicle group, includes: checking an ingress criterion.

Abstract: By a traveling lane estimation apparatus, a traveling lane estimation method, a control program, a computer-readable non-temporary storage medium, a front vehicle is recognized based on a sensing result by a periphery monitoring sensor, a front vehicle traveling trajectory is estimated based on a front vehicle position, map data including lane number information is acquired; a subject vehicle position on a map is identified, an inappropriate traveling trajectory for estimating the subject vehicle traveling lane is determined; and the subject vehicle traveling lane is estimated.

Abstract: A driving assistance method for a motor vehicle (1) when approaching a speed bump comprises, according to the invention: detecting and tracking at least one other moving vehicle (41) in front of the motor vehicle (1) based on processing images captured by a camera (10) on board said motor vehicle (1); establishing a temporal profile of the estimated distance between said motor vehicle (1) and said at least one detected and followed other moving vehicle (41); detecting an anomaly area in said temporal profile; and estimating a distance dbump between said motor vehicle (1) and a speed bump (3) on the basis of the estimated distance between the motor vehicle (1) and said at least one other vehicle (41) at a time separate from the times corresponding to the detected anomaly area.

Abstract: A device for controlling traveling of a vehicle is provided. The device includes a sensor that obtains vehicle traveling information, a navigation that obtains vehicle position information, and a controller that determines whether the vehicle has entered a building based on the vehicle traveling information and the vehicle position information. The controller calculates a traveling control amount based on the determination result. Accordingly, the device actively adjusts a vehicle height even when the vehicle enters the building and travels on a slope in the building preventing damage to a lower portion of the vehicle.

Abstract: An autonomous vehicle may include a driver monitoring device that generates driver monitoring information while driving in an autonomous driving mode, a perception-response feature learning device that measures a perception response time of a driver for each warning notification type based on the driver monitoring information and learns perception response features of the driver based on the measured perception response time of the driver for each warning notification type, a warning notification scenario determining device that determines a customized warning notification scenario for the driver based on of the learned perception response features, and a driver notification providing device that outputs a warning notification based on an output corresponding to each warning notification type, and an autonomous driving information recording device that stores autonomous driving information collected during driving.

Abstract: A safe driving assistance system includes a wearable terminal having a terminal identification information, a first and a second sensor acquiring a biometric information of a driver, a safe driving assistance in-vehicle device having a criteria determination unit. The criteria determination unit determines that a blood glucose level is a predetermined number or less and at least one selected the group consisting of that a heart rate is more than a predetermined number, a skin temperature change is more than a predetermined number and an increase in sweat rate is more than a predetermined number, a safe driving assistance in-vehicle device is connected to a vehicle control unit controlling a vehicle driven by the driver, and an operating state of the vehicle is controlled based on a determination result by the criteria determination unit.

Abstract: A driver condition estimating device includes circuitry configured to measure movement of the head of a driver from output of a driver camera and detect a sign of abnormality of the driver from the movement of the head. On condition that lateral acceleration acting on the head of the driver is a predetermined value or less, the circuitry is configured to calculate a periodic feature amount from time series data showing the movement of the head of the driver, calculate a time series variation pattern from the obtained periodic feature amount, and compare of the obtained time series variation pattern with a predetermined threshold.

Abstract: A sensor and method for sleep position detection including: a transmitter configured to transmit electromagnetic waves between 30 GHz and 300 GHz; a receiver configured to receive the electromagnetic waves from the transmitter, wherein the transmitter and receiver are positioned in relation to person sleeping such that the receiver receives reflected electromagnetic waves; and a control station configured to analyze the transmitted and received electromagnetic waves to determine a position of the person sleeping. In some cases, the method may include: forming a radar cube of results; performing a fast fourier transform (FFT) on the radar cube; applying a constant false alarm rate (CFAR) processor to the FFT data; determining a capon gradient; forming a 5-dimensional feature space based on the capon gradient; and conducting an optimization of SVM.

Abstract: An information recording and reproduction device includes a processor including hardware and configured to: acquire first information indicating information relating to a behavior of a driver from a first device mounted in a vehicle; acquire second information indicating information relating to a behavior of the vehicle from a second device mounted in the vehicle; and accumulate the first information and the second information in a memory in a synchronously reproducible manner.

Abstract: An inertial measurement device includes a sensor unit having an angular velocity sensor and an acceleration sensor, an elastic member that has a first portion, a second portion facing the first portion, and a third portion coupled to the second portion, and sandwiches the sensor unit between the first portion and the second portion, a fixing portion on which the sensor unit and the elastic member are disposed and which is in contact with the second portion, and a fixing member that fixes the sensor unit and the elastic member to the fixing portion. The fixing member passes through the sensor unit and the elastic member, and presses and fixes the elastic member. The third portion of the elastic member is positioned between the sensor unit and the fixing member.

Abstract: Various embodiments include a method for determining an effective wind speed to which a vehicle is exposed while driving comprising: determining an effective mechanical drive power for the vehicle by measuring the current and voltage at an electric motor and using an efficiency characteristic diagram of the electric motor and accounting for losses in a drive train of the motor vehicle; and calculating the effective wind speed based on the effective mechanical drive power.

Abstract: A method for adapting the comfort of a vehicle for a vehicle user. The vehicle has an HMI system with which the user and vehicle interact. A suspension system adapts a position of the user to a roadway. A position planning device plans and regulates movement of the vehicle. A regulating device, which has a memory, is connected to the HMI and a suspension system and the position planning device. According to the method, a target comfort zone for the user is stored in the regulating device memory. A current comfort zone of the user is continuously determined, via the HMI system, and continuously compared with the target comfort zone. Based on comparison results, the regulating device controls the suspension system, the position of the user being adapted to the roadway such that the current comfort zone continues approaching the target comfort zone until the target comfort zone is reached.

Abstract: An online method of detecting and compensating for errors in flux estimation in operation of a motor system. The method includes determining a voltage compensation term by comparing an expected voltage and an actual voltage. The method also includes determining a flux compensation term by passing the voltage compensation term through a low-pass filter, and determining a corrected flux component value by comparing the flux compensation term with a flux value obtained from a look-up table, wherein the low-pass filter receives operating parameters based on data regarding an operating environment of the motor system. The method then further determines a corrected torque value based on the corrected flux component value.

Abstract: The vehicle control device includes an arithmetic processing circuit configured to estimate a deterioration degree of a power transmission system component provided in a power transmission path between a drive source and wheels of a vehicle. The arithmetic processing circuit is configured to execute torque limit control that reduces an upper limit value of output torque of the drive source based on a scheduled maintenance date of the vehicle after a current date and an estimated value of the deterioration degree.

Abstract: A calibrating device for calibrating vehicle assistance systems is described. The device includes: at least one target pattern; at least one sensor, which is designed to detect the position and the orientation of a vehicle to be measured with respect to the calibrating device; and a positioning device, which is designed to position the at least one target pattern on the basis of the position of the vehicle to be measured, which is detected by the at least one sensor, in such a way that the at least one target pattern is situated in a specified orientation at a specified position with respect to the vehicle to be measured.

Abstract: A method for determining jumps and/or inflection points in an activation characteristic of an activation unit includes activating the activation unit using an activator, wherein different activation areas, separated from one another by the jumps and/or inflection points, are defined by the activation characteristic. Different activation forces for activating the activator are respectively set in the activation areas. The jumps and/or inflection points are determined by activating the activator by continuously determining activation travel values of the activator, respectively assigning an activation speed characteristic variable to the determined activation travel values, continuously forming value pairs from the determined activation travel value and the assigned activation speed characteristic variable, and checking, based on the value pairs which are formed whether significant changes occur in the activation speed.

Abstract: A vehicle control system includes: a terminal configured to be carried by a user; and a control device configured to execute a remote autonomous moving process to move a vehicle from an initial position to a prescribed stop position based on an input from the terminal and to stop the vehicle at the stop position. The remote autonomous moving process proceeds on condition of continuation of a reciprocating operation on the terminal by the user, and has a plurality of modes in which a vehicle speed to move the vehicle is set to values different from each other. The control device or the terminal is configured to select one of the plurality of modes based on a speed of the reciprocating operation.

Abstract: A driving assistance apparatus makes a drive force of a vehicle equal to an erroneous operation coping drive force which is smaller than an ordinary drive force in a period from a satisfaction of an erroneous operation start condition which is satisfied when an accelerator pedal is operated erroneously to a satisfaction of an erroneous operation end condition which is satisfied when the erroneous operation has ended. The erroneous operation coping drive force is set to a first drive force if the erroneous operation start condition becomes satisfied after a reoperation determination time point at which a time threshold elapses from when the erroneous operation end condition became last satisfied. Meanwhile, the erroneous operation coping drive force is set to a second drive force which is greater than the first drive force if the erroneous operation start condition becomes satisfied before the reoperation determination time point.

Abstract: Provided is a vehicle control system including: an automatic driving control unit that automatically controls at least one of acceleration/deceleration and steering of a host vehicle, and performs automatic driving control in any one mode among a plurality of modes different in the degree of automatic driving; an interface device that accepts an operation by an occupant of the host vehicle and outputs information; and an interface control unit that restricts acceptance of the operation by the occupant of the host vehicle with respect to the interface device, or output of the information in the interface device in correspondence with a mode of automatic driving that is performed by the automatic driving control unit.

Abstract: Sensors coupled to a first vehicle are used to measure sensor measurements. Based on the sensor measurements, the first vehicle identifies a risk to the first vehicle and/or to a second vehicle near the first vehicle, for example based on a distance between the first and second vehicle being unsafely low. The first vehicle generates an alert based on the risk and outputs the alert toward the second vehicle, for example visually through a screen and/or audibly using speakers, to warn an operator of the second vehicle about the risk.

Abstract: The present disclosure provides a method comprising detecting an event in connection with an autonomous vehicle, wherein the detected event comprises at least one of a current state of the autonomous vehicle, an impending state of the autonomous vehicle, and an intent of the autonomous vehicle; generating an image in connection with the detected event, wherein the image comprises at least one of text information and graphics information; and displaying the generated image on at least one window of the autonomous vehicle for conveying information about the detected event to at least one user located outside the autonomous vehicle.

Abstract: System, methods, and other embodiments described herein relate to improving crash prediction through correlating an observed response and a predicted response of a vehicle. In one embodiment, a method includes generating the predicted response for the vehicle as a function of a response model and according to current vehicle inputs that are control inputs associated with steering, braking, and accelerating the vehicle. The response model is a learning model that predicts behaviors of the vehicle. The method includes computing a residual indicating an extent of correlation between the predicted response and the observed response. The method includes, in response to determining the residual satisfies a crash threshold that indicates an anomaly between the predicted response and the observed response, providing an alert indicating the vehicle has likely crashed.

Abstract: A warning device includes: a driver biological information acquisition unit acquiring driver's biological information; an estimation unit estimating a driver's arousal level based on the biological information; a vehicle behavior information acquisition unit acquiring vehicle's behavior information; and a warning unit issuing a warning based on arousal level information indicating the arousal level and the behavior information. The vehicle behavior information acquisition unit generates driving support warning information for causing a driving support warning to occur based on the behavior information. The warning device analyzes a driving tendency of the driver based on the arousal level information and the driving support warning information to acquire analysis information. The warning unit issues a warning corresponding to the driving tendency based on the analysis information.

Abstract: The present disclosure provides an unmanned vehicle traveling method and apparatus. The method includes: collecting a coordinate of a preceding vehicle according to a preset cycle; when detecting an initial coordinate of the preceding vehicle in a current cycle, determining a circular arc between the preceding vehicle and a present vehicle, wherein a central angle and a radius of the circular arc being determined according to the initial coordinate; performing calculation on the central angle, the radius of the circular arc and a predetermined number N of reference trajectory points according to a preset algorithm, and generating coordinates of N reference trajectory points of the present vehicle in a vehicle coordinate system in the current cycle; and generating a reference trajectory according to the coordinates of the N reference trajectory points, and controlling the present vehicle to travel according to the reference trajectory.

Abstract: The present invention relates to a method for building a virtual scenario library for autonomous vehicles, including steps such as acquiring data, extracting data, cleaning data, annotating scenario elements, forming a data set, determining an optimal k value, determining initial clustering centers, obtaining logical scenarios, and building a virtual scenario library. The present invention provides a theoretical basis and technical support for the building of a virtual scenario library for autonomous driving. The method is easy to operate, and can provide a large number of test target scenario environments meeting different requirements, to test the safety of an autonomous driving system in virtual scenarios. Compared with vehicle test in real environments, this method is more cost-effective, efficient, and repeatable, and can simulate a variety of different scenarios, to speed up the research and development of autonomous vehicles and promote the safe deployment of autonomous vehicles.

Abstract: The technology relates to route planning and performing driving operations in autonomous vehicles, such as cargo trucks, articulating buses, as well as other vehicles. A detailed kinematic model of the vehicle in evaluated in conjunction with roadgraph and other information to determine whether a route or driving operation is feasible for the vehicle. This can include evaluating a hierarchical set of driving rules and whether current driving conditions impact any of the rules. Driving trajectories and cost can be evaluated when pre-planning a route for the vehicle to follow. This can include determining an ideal trajectory for the vehicle to take a particular driving action. Pre-planned routes may be shared with a fleet of vehicles, and can be modified based on information obtained by different vehicles of the fleet.

Abstract: Methods and devices for generating data for controlling a Self-Driving Car (SDC) are disclosed. The method includes: (i) acquiring a predicted object trajectory for an object, (ii) acquiring a set of anchor points along the lane for the SDC, (iii) for each one of the set of anchor points, determining a series of future moments in time when the SDC is potentially located at the respective one of the set of anchor points, thereby generating a matrix structure including future position-time pairs, (iv) for each future position-time pair in the matrix structure, using the predicted object trajectory for determining a distance between a closest object to the SDC as if the SDC is located at the respective future position-time pair, and (v) storing the distance between the closest object to the SDC in association with the respective future position-time pair in the matrix structure.

Abstract: Example embodiments relate to identification of proxy calibration targets for a fleet of sensors. An example method includes collecting, using a sensor coupled to a vehicle, data about one or more objects within an environment of the vehicle. The sensor has been calibrated using a ground-truth calibration target. The method also includes identifying, based on the collected data, at least one candidate object, from among the one or more objects, to be used as a proxy calibration target for other sensors coupled to vehicles within a fleet of vehicles. Further, the method includes providing, by the vehicle, data about the candidate object for use by one or more vehicles within the fleet of vehicles.

Abstract: A self-driving method and a related apparatus, the method including determining, by a self-driving apparatus, a task feature vector of a self-driving task according to M groups of historical paths of the self-driving task, where the task feature vector is a vector representing features of the self-driving task, and where M is an integer greater than 0, determining, by the self-driving apparatus, according to the task feature vector and a status vector, a target driving operation that needs to be performed, where the status vector indicates a driving status of the self-driving apparatus, and performing, by the self-driving apparatus, the target driving operation.

Abstract: An image processing device includes: an image recognition unit for executing image recognition processing on an image captured by a camera for imaging a vehicle interior; and a threshold value setting unit for setting at least one threshold value among one or more threshold values to be used for the image recognition processing to a value being different depending on driving mode information.

Abstract: The present disclosure provides a system for control a vehicle and a vehicle. The system includes: a control module configured to electrically connect to a control bus of a vehicle, the control module including: one or more storage media storing one or more sets of instructions for controlling a vehicle; and one or more processors, during operation, to execute the one or more sets of instructions to: receive a bus signal from the control bus, query a type of a control signal according to the bus signal, and convert-to-analog a control output signal for the vehicle according to a result of the query to control a driving state of the vehicle.

Abstract: In various examples, sensor data may be collected using one or more sensors of an ego-vehicle to generate a representation of an environment surrounding the ego-vehicle. The representation may include lanes of the roadway and object locations within the lanes. The representation of the environment may be provided as input to a longitudinal speed profile identifier, which may project a plurality of longitudinal speed profile candidates onto a target lane. Each of the plurality of longitudinal speed profiles candidates may be evaluated one or more times based on one or more sets of criteria. Using scores from the evaluation, a target gap and a particular longitudinal speed profile from the longitudinal speed profile candidates may be selected. Once the longitudinal speed profile for a target gap has been determined, the system may execute a lane change maneuver according to the longitudinal speed profile.

Abstract: Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.

Abstract: A vehicle providing safe autonomous driving by predicting driving of surrounding vehicles based on a relationship between surrounding vehicles is provided. The vehicle includes a sensing device that obtains position information of a first vehicle and a second vehicle and a driver. A controller determines a mutual positional relationship between the second vehicle and the first vehicle based on the position information and determines an expected driving path of the first vehicle based on a relative speed of the first vehicle and the second vehicle and the mutual positional relationship. The driver is operated to maintain a collision avoidance or a safe distance from the first vehicle based on the expected driving path.

Abstract: This disclosure relates in general to systems and methods for optically tracking objects proximate an autonomous vehicle. In particular, an object tracking system capable of refining position data for objects being tracked by determining a location of the objects surrounding the autonomous vehicle at least on part on previously determined locations of the objects. In certain instances, the predicted and detected locations used to arrive at a refined location for the objects can be weighted in different ways depending on conditions of the sensor data and quality of the historical data.

Abstract: A method and device for amending a reference path associated with a vehicle are disclosed. The method includes: (i) acquiring road segment data and reference path data, the reference path data having a plurality of anchor points defining the reference path along the road segment, (ii) using the road segment data and the reference path data to determine a safe deviation interval for each one of the plurality of anchor points, a given safe deviation interval for a given anchor point being indicative of an acceptable deviation of the vehicle from the reference path; and (iii) using the safe deviation intervals to determine an amended path for the vehicle instead of the reference path, such that by following the amended path the vehicle falls within the constraints of the road segment.

Abstract: A vehicle control device facilitates giving a feeling of security to a driver and passengers of an autonomous driving host vehicle M. The vehicle control device includes a recognition unit recognizing circumstances surrounding the vehicle, a travel control unit controlling at least one of steering and acceleration of the vehicle based on the circumstances surrounding the vehicle, an external notification unit notifying the traffic participants recognized by the recognition unit of a behavior of the host vehicle based on a control by the travel control unit, an internal notification unit notifying the driver of the information notified to the traffic participant through the external notification unit when the host vehicle M is within a predetermined area of the intersection, and a notification control unit stopping the notifications when the vehicle is not in the area.

Abstract: A method for controlling the movement of a vehicle in an automatic driving operation involves, during the automatic driving operation, the vehicle capable of being operated both in a regular operating mode and in an emergency operating mode. When a functional impairment of the regular operating mode is established, a switch from the regular operating mode to the emergency operating mode is carried out. In the emergency operating mode, the vehicle is guided automatically to an emergency stop position. In the emergency operating mode, the vehicle is braked with a deceleration profile which contains three deceleration phases, namely a first deceleration phase with a momentary strong braking, a second deceleration phase with a somewhat longer moderate braking, and a third deceleration phase with a strong braking lasting until the vehicle has come to a standstill or until the vehicle driver of the vehicle takes over a vehicle guidance of the vehicle.

Abstract: In one embodiment, an autonomous driving vehicle (ADV) operates in an on-lane mode, where the ADV follows a path along a vehicle lane. In response to determining that the ADV is approaching a dead-end, the ADV switches to an open-space mode. While in the open-space mode, the ADV conducts a three-point turn using a series of steering and throttle commands to generate forward and reverse movements until the ADV is within a) a threshold heading, and b) a threshold distance, relative to the vehicle lane. The ADV can then return to the on-lane mode and resume along the vehicle lane away from the dead-end.

Abstract: The present invention makes it possible to avoid the risk of a brake operation system for emergency stopping not operating normally during autonomous travel of a work vehicle. A work vehicle is provided with: a foot brake for braking left and right rear wheels; an autonomous travel unit that enables autonomous travel of the vehicle; and an electric actuator for switching the foot brake between a braking state and a release state. The autonomous travel unit comprises a control unit for controlling the operation of the electric actuator.

Abstract: A vehicle system including a vehicle component and a controller is provided. The controller may selectively activate the vehicle component and communicate with a mobile unit including an interface. The controller may be programmed to interact with the mobile unit upon detection by accessing vehicle sleep mode instructions preprogrammed by a user via the interface in which the controller activates the vehicle component according to an escalation sequence schedule to disengage a vehicle sleep mode. The system may further include a sensor in communication with the vehicle component and the controller. The controller may be further programed to activate the vehicle component according to the escalation sequence schedule based on receipt of a signal from a sensor indicating a passenger is asleep.

Abstract: A high-speed mass transport system having a monorail track disposed along a travel path and a monorail car with a driving unit suspended from the monorail track and a commuter car selectively attached to the driving unit. The high-speed mass transport system having also having an omnidirectional wheel transporter being adapted to selectively raise and lower to engage the commuter car, thus allowing the commuter car to detach from and reattach to the driving unit.

Abstract: Embodiments related to a rail system for use with a personal rapid transit system are disclosed. In some embodiments, a railway may include a first rail configured to engage and support a bogie of a vehicle and a lift rail may be configured to engage and support the bogie of the vehicle. The lift rail, which may be a lift arm including a short section of rail that is attached at one end to a lift, may be configured to change a position of the lift rail to transition the vehicle between different desired positions. In another embodiment, a railway may include a first pair of main rails intersecting a second pair of main rails, where the second pair of main rails are divided by the first pair of main rails and a portion of the second pair of main rails are configured to hold one or more stationary vehicles.

Abstract: According to some embodiments, a longitudinal door system comprising one or more longitudinal doors for a railcar and a longitudinal operating beam coupled to the one or more longitudinal doors via one or more struts. A translation of the longitudinal operating beam is coupled to an opening and closing of the one or more longitudinal doors. The door system further comprising a gearbox coupled to the longitudinal operating beam and a first capstan receptacle. The gearbox is operable to translate a rotational movement of the first capstan receptacle to a linear movement of the longitudinal operating beam.