Abstract: Systems, devices and methods provide, implement, and use vision-based methods of sequence inference for a device affixed to a vehicle.

Abstract: An embodiment relates to a system comprising a sensor, an image sensor, a display, a connector, a communication module, and a processor. The processor is configured to detect a vehicle seat in the vehicle, establish a secured connection with the vehicle seat through the connector; receive a first data from the sensor and a second data from the image sensor through the connector, the first data and the second data being indicative of information gathered regarding at least one parameter related to at least one of a condition of the vehicle seat, a health and wellness of an occupant of the vehicle, and the connector being configured to facilitate gathering of the information, to encode the first data and the second data into a secure data message using a protocol, and to transmit the first data and the second data in real time via the communication module to various devices.

Abstract: An embodiment relates to a system, comprising: a sensor; a communication module; and a processor; wherein the processor is configured to detect that a passenger of a vehicle is experiencing a medical emergency; generate of an alert signal on an infotainment system of the vehicle; turn on automatically an emergency indication light; generate of a path from the current location of the vehicle to a target location; maneuver the vehicle along the path to the target location; identify a medical facility based upon a location of the vehicle; contact an emergency service and provide the location of the vehicle and a health condition of the passenger of the vehicle; and transmit a medical record of the passenger of the vehicle to the medical facility. According to an embodiment, the system is configured to be a component of the vehicle.

Abstract: An embodiment relates to a system, comprising: a processor and a communication module; wherein the processor performs, under power, following functions, wherein the functions comprise: receiving, an indication that a passenger of a vehicle is experiencing a medical emergency; identifying, via the communication module, an emergency contact in a device of the passenger; establishing, via the communication module, a secondary communication channel with the emergency contact; sending, via a communication module, a message to the emergency contact comprising a detail of occurrence of an emergency event in the vehicle and a location of the vehicle; and wherein the system is configured to be a component of the vehicle.

Abstract: A vehicle-mounted device for providing multimedia information to an occupant in a vehicle transmits, to a server device, an operation log of the vehicle-mounted device for a predetermined period of time including a time point of acquisition of a voice uttered by the occupant during operation of the vehicle-mounted device by the occupant, in a case where a first voice expressing discomfort of the occupant is included in the voice.

Abstract: System, methods, and other embodiments described herein relate to sampling signals to derive information from a target frequency outside a detectable range by exploiting physical phenomena. In one embodiment, a method includes sampling, by a detector with an oscillator, a signal at sampling times to acquire a target frequency, the sampling times having an offset associated with random jitter and the target frequency is outside a detectable range for the sampling times. The method also includes computing a sample average associated with the sampling times for component frequencies of the signal using a discrete Fourier transform (DFT). The method also includes, in response to the sample average satisfying a threshold for the target frequency, extracting information by the detector for the target frequency at one of the component frequencies. The method also includes modifying control of a device using the information.

Abstract: Systems and methods for providing kinematic and contextual comfort scores to autonomous vehicle rides. In particular, systems and methods are provided to automatically identify driving events such as unusual acceleration, braking, and steering events, and determine the severity of identified events. Some example events include a hard braking event, a swerve event, and a quick acceleration event. Automatic detection of such events allows for engineering feedback to autonomous vehicles and provides a tool for capturing passenger satisfaction and/or reactions with regard to specific events.

Abstract: A system containing a reference trajectory device, a cost function device, a dynamic model device, a summing device, a controller, a brake actuator device, a drive actuator device, a steering actuator device, a multiplexer and a vehicle, in particular a motor vehicle, wherein the system, in particular the controller, is set up to execute a control algorithm which manages all actuators, in particular the brake actuator device, the drive actuator device and/or the steering actuator device, in order to achieve optimum performance, efficiency and stability.

Abstract: An on-vehicle system includes: a control device; an in-vehicle sensor that detects whether there is a priority target among occupants in a vehicle; and a storage device that stores a learned model for feeling estimation. Further, the control device: determines whether there is a priority target among occupants in the vehicle based on a detection result of the in-vehicle sensor; acquires information on the priority target when determining that there is the priority target; estimates a feeling of the priority target based on the information that has been acquired by using the learned model; and executes vehicle control in accordance with a result of estimating the feeling of the target occupant.

Abstract: A vehicle includes: a travel state sensor configured to acquire information about a travel state of the vehicle; one or more processors; and a memory connected to the one or more processors and storing a plurality of instructions to be executed by the one or more processors. The instructions are configured to cause the one or more processors to: communicate with an autonomous driving device configured to calculate a target track for the vehicle; subject the vehicle to automated travel in accordance with the target track received from the autonomous driving device; and calculate an evaluation value of performance of the autonomous driving device based on the information acquired by the travel state sensor.

Abstract: According to one aspect, a method includes identifying, using a vehicle control system (VCS) of a vehicle, an issue associated with the vehicle. A criticality level of the issue is determined using the VCS, and the VCS determines at least one action to perform based on the criticality level. Determining the at least one action to perform includes determining whether to accept a first trajectory update generated by the trajectory generation system. The method also includes performing the at least one action, wherein performing the at least one action includes updating the trajectory using the first trajectory update when it is determined that the first trajectory update is be accepted, and wherein performing the at least one action further includes declining the first trajectory update when it is determined that the first trajectory update is not to be accepted.

Abstract: A control apparatus for a vehicle that includes a drive wheel, an engine and an electric motor as power sources for driving the vehicle, and an automatic transmission which is provided in a power transmission path between the power sources and the drive wheel and which is configured to selectively establish a plurality of gear positions providing respective different gear ratios. The control apparatus includes a limp-home-running control portion configured, in event of a failure of the engine, to cause the vehicle to perform a limp-home running, by operating the electric motor with a power supplied from a power storage device. The limp-home-running control portion is configured, when causing the vehicle to perform the limp-home running, to restrict shifting of the automatic transmission for changing the gear positions of the automatic transmission.

Abstract: A vehicle control device includes: a recognition unit configured to recognize a surrounding condition of a vehicle; a driving control unit configured to control acceleration, deceleration, and steering of the vehicle based on a recognition result; and a vehicle abnormality detection unit configured to detect an abnormality in an electric parking brake device. When an abnormality in the driver is detected during traveling of the vehicle, the driving control unit performs control to decelerate the vehicle to a predetermined speed greater than zero by braking by a brake device. In a case where an abnormality in the electric parking brake device is detected before or at a time the vehicle is decelerated to the predetermined speed, the driving control unit causes the vehicle to perform traveling along a traveling road until the recognition unit recognizes a preceding vehicle after the vehicle is decelerated to the predetermined speed.

Abstract: A method, an apparatus and a computer program product for enhancing training of autonomous movement models based on map-based annotations. The method comprises augmenting an original training set with map based annotated modified scenarios at least one of which affects a path and at least one of which does not affect a path. The method comprises generating modified driving scenarios introducing a synthetic path altering object into the functional map representing the original movement or driving scenario, that induces a driving path that is different than the original path; and other modified driving scenarios that introduce a path non-altering object into the functional map of the original scenario, that the original path is applicable therein. An autonomous driving model for predicting driving path within a road segment based on a functional map representation is trained using the modified driving scenarios.

Abstract: A vehicle control device includes a decider configured to decide on a start and a cancelation of a travel mode in which a vehicle travels at or below a target speed set by a driver of the vehicle and a controller configured to control traveling of the vehicle in the travel mode in accordance with a decision result of the decider. The decider defers the cancelation of the travel mode for a prescribed period if a cancelation operation is performed when the start of the travel mode is decided on in accordance with a first start operation and the controller controls the traveling and decides to continue the travel mode when a second start operation different from the first start operation is performed within the prescribed period.

Abstract: Road vehicle comprising an ignition system for the powertrain system comprising in turn a luminous device integral with the passenger compartment of the road vehicle and comprising an optical sensor configured to detect at least a first gesture and a second gesture performed by the driver to switch from an off configuration to an on configuration of the road vehicle and vice versa; the luminous device comprising a display device configured to at least partially assume a first colour and a second colour; wherein the display device is configured to switch from the first colour to the second colour when the movable part switches from the off configuration to the on configuration and vice versa when the movable part switches from the on configuration to the off configuration. Principal figure: 3.

Abstract: An embodiment relates to a system, wherein a system is configured to be a component of a vehicle. The system comprises a sensor, a camera, a connector, a communication module, and a processor. The processor is configured to detect a vehicle seat in the vehicle via the connector, establish a secure connection with the vehicle seat through the connector, receive a first data of the vehicle from the sensor, receive a second data from the camera, process the first data and the second data, notify a condition of an occupant through the communication module and notify a condition of the vehicle seat through the communication module.

Abstract: A risk of occurrence calculating apparatus includes an image analyzing unit configured to analyze an image of a road; an environmental information acquiring unit configured to acquire environmental information of the surroundings of the road; a risk of occurrence calculating unit configured to calculate a risk of occurrence indicating the likelihood that an obstructing factor that may hinder passage on the road occurs, based on an analysis result resulting from an analysis by the image analyzing unit and the environmental information acquired by the environmental information acquiring unit; and a display controlling unit configured to link the risk of occurrence to map information indicating position information of the road.

Abstract: An HMI control device is configured to control an HMI device mounted in a vehicle, which is capable of performing an autonomous driving as a first task. The HMI control device is configured to: acquire a possible duration for the autonomous driving; and present, by the HMI device, a second task that an occupant on a driver's seat is able to start executing during the autonomous driving based on the possible duration acquired by the time acquisition unit.

Abstract: Systems and methods for managing speed thresholds for a fleet of vehicles are disclosed. Input is used to provide associations between particular weather-relation conditions (such as rain) and arithmetic operations, that may be used to determine a current speed threshold as a function of a local posted speed limit at the current location of a vehicle. The current speed threshold is subsequently used to detect whether vehicles are exceeding the current speed threshold.

Abstract: An information processing device includes: a satellite image acquisition section that is configured to acquire a satellite image captured by an artificial satellite; a weather information acquisition section that is configured to acquire weather information for a region corresponding to the satellite image; and an information output section that is configured to output information relating to a road surface condition for the region, which is estimated based on the satellite image and the weather information.

Abstract: The purpose is to prevent inappropriate reporting of agitated driving. A controller, comprising at least one processor, of the information processing apparatus detects a predetermined action included in an act of aggressive driving by a second vehicle traveling within a predetermined range from a first vehicle. The controller of the information processing apparatus executes a predetermined discrimination process to determine whether or not the driving conditions of the first vehicle at time when the predetermined action is detected are appropriate for a traffic rules. When the controller determines in the predetermined discrimination process that the driving situation of the first vehicle is appropriate for the traffic rules, the controller outputs the first information to notify the predetermined agency that the second vehicle is driving in an agitated manner toward the first vehicle.

Abstract: An attention attracting system includes HMI devices that are mounted on a subject vehicle; and an attention attracting device that transmits, to a driver, a possibility of contact between the subject vehicle and an object through the HMI devices. The attention attracting device includes a processor that identifies a risk position at which the contact occurs and a risk level of the contact, estimates a degree of fatigue of the driver, and transmits the risk position and the risk level to the driver. The processor selects an HMI device to be used in accordance with the degree of fatigue of the driver, provides a tactile stimulus or an auditory stimulus to the driver through a tactile HMI device or an auditory HMI device at a remarkableness level corresponding to height of the risk level, and transmits visual information to the driver through a visual HMI device.

Abstract: A method for monitoring a vehicle (1) having a vehicle superstructure (2), a chassis (3) connected to the vehicle superstructure (2), and a monitoring unit (11) which monitors the chassis (3) for damage. In the event that chassis damage is detected, the monitoring unit produces a warning signal (S) by means of a warning signal generator, where the warning signal generator has at least one drive unit (10) by means of which the warning signal (S) is produced in the form of a tactile mechanical vibration.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting future trajectories for an agent in an environment. A system obtains scene context data characterizing the environment. The scene context data includes data that characterizes a trajectory of an agent in a vicinity of a vehicle in an. environment up to a current time point. The system identifies a plurality of initial target locations in the environment. The system further generates, for each of a plurality of target locations that each corresponds to one of the initial target locations, a respective predicted likelihood score that represents a likelihood that the target location will be an intended final location for a future trajectory of the agent starting from the current time point.

Abstract: Aspects of the disclosed technology provide solutions for measuring divergence between recorded real-world scene data, and a simulated environment. A process of the disclosed technology can include steps for generating, based on real-world autonomous vehicle (AV) scene data, a computer-generated simulation of a real-world scenario, determining, an occlusion region in which at least one surrounding object obstructs a field of view of the AV, and determining, based on the occlusion region, a portion of the object of interest that is visible to the AV. In some aspects, the process can further include steps for determining a divergence value indicating a difference between the portion of the object of interest that is visible to the AV within the simulation of the real-world scenario to an actual portion of the object of interest that is visible to the AV within the real-world scenario. Systems and machine-readable media are also provided.

Abstract: A trailer platform system with independent propulsion and control includes a steerable first axle connected to a pair of first wheels, a second axle connected to a pair of second wheels, and at least one electric traction motor configured to drive the steerable first axle and/or the second axle. A high voltage battery system is configured to power the at least one electric traction motor. A load platform is supported by a chassis and a suspension, wherein the load platform is a wagon-style platform with the first and second wheels located at the four corners of the load platform. A lead vehicle hitch connection is configured to removably couple to a lead vehicle.

Abstract: A monitoring plan generation device sets, for monitoring map information corresponding to a monitoring area indicating an entire area monitored by an uncrewed vehicle, an initial value of a time interval at which a corresponding small area needs to be monitored for each small area obtained by dividing the monitoring map information, counts a remaining time for the initial value of the time interval set in accordance with a passage of time, creates action plan information that establishes a movement route of the uncrewed vehicle to give priority to monitoring the small area where there is little remaining time, and sets an initial value to the remaining time of a small area corresponding to an area monitored by the uncrewed vehicle when the uncrewed vehicle has moved on the basis of the action plan information.

Abstract: A multi-vehicle control system (MVCS) for dynamic stability and control of a multi-vehicle system having a lead vehicle and a trailer vehicle each with independent propulsion and control. The MVCS includes a controller in signal communication with the lead vehicle and a trailer vehicle advanced driver assistance system (ADAS) or autonomous driving system via a controller area network (CAN) bus. The controller is configured to (i) receive throttle, brake, and steering signals respectively from a throttle-by-wire system, a brake-by-wire system, and a steer-by-wire system of the trailer vehicle ADAS or autonomous driving system, (ii) receive lead vehicle control inputs from the lead vehicle, and (iii) modify a throttle, a steering, and a braking of the trailer vehicle, based on the received lead vehicle control inputs, to dynamically stabilize the multi-vehicle system such that the trailer vehicle does not induce forces that accelerate or slow the lead vehicle.

Abstract: Systems and methods for deployment on an autonomous vehicle are provided. In some example embodiments, the system includes a first compute unit and a second compute unit, in which the first compute unit is configured to receive first information of the vehicle and an environment of the vehicle, generate a first control command based on the first information, and transmit the first control command to a controller of the vehicle to effectuate an autonomous operation of the vehicle; and the second compute unit is configured to receive second information of the vehicle and the environment of the vehicle, generate a second control command based on the second information, and only when a fault or failure of the first compute unit is detected, transmits the second control command to the controller of the vehicle to effectuate the autonomous operation of the vehicle.

Abstract: A vehicle includes a vehicle engine, a steering control unit, an on-board sensor network and a navigational constraint control system. The vehicle engine generates a torque output of the vehicle. The steering control unit controls a steering angle of the vehicle. The on-board sensor network is programmed to detect external objects within a detection zone. The navigational constraint control system has a memory for storing a path index for the vehicle's navigation. The processor is programmed to determine a reference trajectory from the path index. The processor is further programmed to calculate navigational constraints for the determined reference trajectory to determine a nominal trajectory based on information detected by the on-board sensor network. The processor is programmed to control at least one of the vehicle engine and the steering control unit in accordance with the nominal trajectory.

Abstract: An example method includes receiving a scenario that includes scenario road portions and scenario hazards. Human driver performance metrics based on driving performance of human drivers on first road portions at least generally similar to the scenario road portions when the human drivers encountered first hazards at least generally similar to the scenario are received. Autonomous vehicle performance metrics based on autonomous vehicles driving on second road portions at least generally similar to the scenario road portions and encountering second hazards at least generally similar to the scenario are received. A scenario autonomous vehicle performance assessment based on the human driver performance metrics and the autonomous vehicle performance metrics are generated and provided.

Abstract: A trailer system with independent propulsion and control is configured to be towed by a lead vehicle. The trailer system includes a steerable first axle connected to a pair of first wheels, a second axle connected to a pair of second wheels, at least one electric traction motor configured to drive the steerable first axle, and a high voltage battery system configured to power the at least one electric traction motor. A trailer control system (TCS) includes a controller configured to steer, accelerate, and brake the first and/or second wheels. A trailer sensor suite is in signal communication with the TCS. The TCS is configured for signal communication with a lead vehicle sensor suite, and is configured to control driving and/or operation of the trailer system based on one or more signals from the trailer sensor suite and the lead vehicle sensor suite.

Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.

Abstract: Systems and methods enable an autonomous vehicle (AV) to self-recover or be remotely recovered if the AV is rendered immobilized, without requiring in-person retrieval or tow of the AV. Upon the occurrence of a non-nominal event, the AV performs a dynamic driving task fallback maneuver to achieve a minimal risk condition and secures its cabin. Based on the type and severity of the event, residual AV health, and passenger confirmation, escalating grades of recovery or retrieval are executed as needed to recover from the event and resume operation. Multiple AVs can be monitored simultaneously and addressed based on priority of AV state and recovery/retrieval state, resulting in more efficient fleet management.

Abstract: A transportation system for autonomous vehicles may include a control system configured to determine respective vehicle trajectories for respective autonomous vehicles and to provide the respective vehicle trajectories to the respective autonomous vehicles. The transportation system may also include a pair of roadways extending alongside one another and physically divided from one another, a first roadway of the pair of roadways configured for vehicle travel in a first direction, and a second roadway of the pair of roadways configured for vehicle travel in a second direction opposite the first direction, a boarding zone that is vertically separated from the pair of roadways and includes a set of boarding slots configured to receive autonomous vehicles, and a mixing zone adjacent the set of boarding slots and configured to allow vehicle access to the set of boarding slots for vehicles from the first roadway and the second roadway.

Abstract: Navigation based on internal state inference and interactivity estimation may include training a policy for autonomous navigation by extracting spatio-temporal features from one or more historical observations of one or more agents within a simulation environment including an ego-agent, analyzing the spatio-temporal features to infer one or more internal states of one or more of the agents, predicting one or more future behaviors for one or more of the one or more of the agents in a first scenario including an existence of the ego-agent within the simulation environment and in a second scenario excluding the existence of the ego-agent within the simulation environment, and calculating one or more interactivity scores for one or more of the agents based on a difference between the first scenario and the second scenario. The trained policy may be implemented to control an autonomous vehicle.

Abstract: A vehicle selection device includes a processor. The processor is configured to execute a selection process of selecting, as a target vehicle to be followed by a specific vehicle, a preceding vehicle candidate that satisfies one or more selection conditions based on surrounding vehicle information being information on one or more preceding vehicle candidates around the specific vehicle. In the selection process, the processor is configured to change the one or more selection conditions in accordance with traveling environment information around the specific vehicle.

Abstract: A prediction-type intelligent vehicle decision control method and apparatus, a vehicle, and a storage medium are provided.

Abstract: An electronic device and method for more accurate autonomous driving, where the electronic device includes a sensor disposed in a moving object and configured to generate sensing data, and a processor configured to determine a predicted position of the moving object and a region of interest (ROI) based on a driving plan of the moving object, select a target position offset based on an available sensing region of the sensor in the ROI and the predicted position, and update the driving plan of the moving object based on the target position offset.

Abstract: An embodiment system for controlling switching to a manual driving mode of an autonomous vehicle includes a steering controller configured to determine whether a steering angle is changed according to operation of a steering wheel by a driver, a braking controller configured to apply braking torque to a braking device of each wheel, a motor controller configured to apply individual regenerative braking torque and driving torque to each wheel, and an autonomous driving controller configured to determine a control torque for maintaining straight-ahead driving and to issue an instruction using a feedforward control scheme when a steering angle change signal according to the operation of the steering wheel by the driver is received from the steering controller in a transition section in which an autonomous driving mode is switched to the manual driving mode during high-speed straight-ahead driving of the autonomous vehicle.

Abstract: A sensor detection method, a sensor detection apparatus, and a vehicle are provided. The method may be applied to the sensor detection apparatus. The method includes: a sensor detection apparatus obtains data collected by a plurality of sensors; the sensor detection apparatus extracts a feature from data collected by each of the plurality of sensors, to obtain a plurality of pieces of feature data; the sensor detection apparatus fuses the plurality of pieces of feature data to obtain fused data; and the sensor detection apparatus performs inference on the fused data to obtain clean status information of each of the plurality of sensors. According to embodiments of this application, accuracy of detecting a clean status of a sensor can be improved.

Abstract: A control apparatus for a hybrid electric vehicle includes an engine, an electric motor, and a battery that supplies and receives an electric power to and from the electric motor. The control apparatus includes (a) a driving control portion configured to execute an manual driving control for driving the vehicle based on a driving operation by a driver of the vehicle and an autonomous driving control for driving the vehicle by automatically performing steering and acceleration/deceleration of the vehicle; and (b) a charging control portion configured to perform an NV suppression control in which a required charging power for charging the battery with the electric power generated by the electric motor using a power of the engine, is set to a larger value during an unmanned driving in the autonomous driving control than during a manned driving in the autonomous driving control.

Abstract: Each of the first outdoor heat exchanger and the second outdoor heat exchanger includes a body including a stacked structure in which refrigerant pipes and fins are alternately stacked in a direction perpendicular to a thickness direction in which airflow passes through the first outdoor heat exchanger or the second outdoor heat exchanger. Each refrigerant pipe internally defines a plurality of refrigerant flow paths arranged in the thickness direction. A first header pipe connects the refrigerant flow paths in each refrigerant pipe to one another at a first end of the body in a length direction of the refrigerant pipes. A second header pipe connects the refrigerant flow paths in each refrigerant pipe to one another at a second end of the body in the length direction of the refrigerant pipes.

Abstract: A magnetic track braking device for a rail vehicle includes at least one pressure-medium-actuated actuation cylinder, which has a cylinder housing and an actuation piston movable relative to the cylinder housing, at least one magnet apparatus, which can be lowered into a low position onto a rail by the at least one actuation cylinder to generate, by a magnetic short circuit with the rail, a magnetic attractive force between the rail and the at least one magnet apparatus, and which can be placed, by the actuation cylinder, into a high position raised from the rail and into any intermediate positions between the low position and the high position; at least one high-position detecting apparatus, which generates a high-position signal when the high position is assumed by the at least one magnet apparatus.

Abstract: Disclosed herein are an apparatus and method for measuring a railroad of a transfer vehicle to check the installation status of the railroad to ensure that the railroad of the transfer vehicle is installed in accordance with specifications. The apparatus may include a body formed in correspondence with a railroad of the transfer vehicle, a detector provided to the body and arranged in contact with the railroad, and a displacement measurer configured to measure a displacement of the detector in contact with the railroad.

Abstract: Systems and methods are provided for vehicle host interface module (vHIM) based braking solutions and use thereof in trains.

Abstract: A train control system includes an onboard unit configured to be installed in a locomotive of a train, a back office server system, a hazard management system, and a communication network configured to interface with the onboard unit, the back office server system and the hazard management system, wherein the hazard management system is configured to collect and process hazard related information, and wherein the hazard management system is configured to determine vital and non-vital hazard information based on the hazard related information and to communicate the vital and non-vital information to the onboard unit.

Abstract: Methods and systems for selection of a control speed for a remote-controlled vehicle based on rulesets applied to control nodes within a viewing window. In embodiments, a viewing window including control nodes, each having a having ruleset defining operating conditions associated therewith, may be determined. The ruleset for a control node may define operating limitations (e.g., speed limitations, orientation limitations, etc.) at the control node. In embodiments, a control speed plan for the viewing window may be generated based on the operating conditions for each control node within the current viewing window based on the limitations associated with each control node. The control speed plan may include an optimal control speed at each control node within the viewing window and a speed profile indicating an acceleration or deceleration curve to be followed through each of the optimal control speeds in the control speed plan when executing the control speed plan.

Abstract: Railway detection system for detecting the presence of a railway vehicle on a railway track section comprising at least two rails, the railway track section comprising a first end and a second end opposite to the first end in a longitudinal direction of the railway track section, the railway detection system comprising a track circuit system comprising a signal generator electrically coupled to the first end of the railway track section, the signal generator being configured for generating a first track circuit signal to be injected into the railway track section at the first end, wherein the signal generator is adapted to generate a first component of the first track circuit signal comprising at least one DC pulse; generate a second component of the first track circuit signal, and add the first and the second component so as to obtain the first track circuit signal.