Abstract: A transportation vehicle, a traffic control entity, a method, a computer program, and an apparatus for determining a minimum inter-vehicular distance for a platoon. The method for determining a minimum inter-vehicular distance for a platoon of transportation vehicles obtains information related to a predicted quality of service (pQoS) of communication links between the transportation vehicles of the platoon; a speed of the transportation vehicles of the platoon; and one or more maximum decelerations of the transportation vehicles of the platoon. The method also uses a functional relationship between the pQoS, the speed, the one or more maximum decelerations, and an inter-vehicular distance to determine the minimum inter-vehicular distance.

Abstract: To provide a vehicle position processing apparatus, a vehicle control apparatus, a vehicle position processing method, and a vehicle control method capable of increasing the number of the position information of front object used for generation of the trajectory and improving the generation accuracy of the trajectory. A vehicle position processing apparatus, a vehicle control apparatus, a vehicle position processing method, and a vehicle control method that obtains positions of a target object, sets a trajectory generation range which is a continuous range including a position of the target object close to a position of the present own vehicle, selects positions of the target object included in the trajectory generation range among the plural positions of the target object, as target object positions for trajectory generation, and generates a trajectory of the target object based on the target object positions for trajectory generation.

Abstract: Embodiments of the present application provide a method and a device for controlling train formation tracking, the method comprising: obtaining a current distance between a first train and a second train in a train formation, wherein the first train is adjacent to the second train and located behind the second train; determining a target tracking mode of the first train based on the current distance, wherein the target tracking mode is one of a speed tracking mode, a distance tracking mode and a braking mode; and tracking the second train, by the first train based on the target tracking mode. Tracking efficiency is improved according to the method of the embodiments of the present application.

Abstract: A driving assistance control section of a vehicle control apparatus has an operation state of a driver's vehicle transition from a stop state to a start-stand-by state keeping a second assistance state, if an accelerating operation larger than a predetermined first threshold acceleration is performed and there is an ahead-located vehicle, and has the driving assistance state transition from the second assistance state to a first assistance state and has the operation state transition from the stop state to the start-stand-by state if an accelerating operation larger than a predetermined second threshold acceleration is performed over a longer time than a predetermined threshold duration and there is an ahead-located vehicle, if follow-up running control is being performed in the second assistance state in which it is not necessary for a driver to hold a steering wheel to continue to have a driving assistance function performed.

Abstract: A vehicle control apparatus includes: a follow-up-running control portion configured to execute a follow-up running control for causing a vehicle to run following a preceding vehicle with a target inter-vehicle distance; and a shift control portion configured to change a gear ratio of an automatic transmission in accordance with a predetermined shifting condition. The shift control portion is configured to set a high fluid-temperature determination value, based on information relating to the preceding vehicle that affects an air flow rate. When a fluid temperature of the automatic transmission is not lower than the high fluid-temperature determination value, the shift control portion is configured to change the shifting condition such that a higher-speed gear position making the gear ratio lower is more frequently established in the automatic transmission than when the fluid temperature of the automatic transmission is lower than the high fluid-temperature determination value.

Abstract: A vehicle controller for automated driving control of a vehicle in traffic congestion includes a processor configured to sense at least one another vehicle around the vehicle, based on a sensor signal obtained by a sensor for sensing a situation around the vehicle, the sensor being mounted on the vehicle; calculate a motion value indicating motion of the sensed at least one other vehicle; determine, when the motion value satisfies a congestion relief condition, that congestion is relieved around the vehicle; and set the congestion relief condition, based on road environment information indicating environment of a road around the vehicle.

Abstract: A device according to the present disclosure is configured to, when it is determined that the road on which a vehicle travels is an uphill road and the speed of the vehicle is controlled such that the vehicle follows a preceding vehicle, in a case where the preceding vehicle is no longer detected, inhibit the acceleration of the vehicle or decelerate the vehicle until it is determined that the road on which the vehicle travels is no longer the uphill road, or alternatively, until a certain period of time elapses.

Abstract: A vehicle control apparatus performs a following travel mode in which an own vehicle travels while following a followed vehicle ahead of the own vehicle. The apparatus includes a surrounding object detection section that acquires detection information regarding a surrounding object, a space determination section that uses the detection information to determine presence/absence of a free space located laterally to an own lane, a setting condition determination section that determines whether a first other vehicle having entered the own lane from the free space or a second other vehicle traveling ahead of a preceding vehicle having entered the free space from the own lane meets a setting condition for setting the first or second other vehicle as the followed vehicle, and an automated driving control section that sets the first or second other vehicle as the followed vehicle to perform the following travel mode if the setting condition is met.

Abstract: Systems and methods are provided to provide a steering indicator to a driver of a vehicle. It is determined whether a first obstacle is in a forward path of the vehicle and whether a second obstacle is present at a side of the vehicle. In response to (a) determining the first obstacle is in the forward path and (b) determining whether the second obstacle is present at the one or more sides of the vehicle, a suggested steering action indicator indicating one or more movements for the vehicle to avoid the first obstacle is provided to a user interface of the vehicle.

Abstract: Activation of an automatic driving feature in a vehicle is detected by evaluating sequential vehicle operation data against subtractive and additive heuristic rules that define a likelihood of an automatic driving feature having been engaged as a function of vehicle performance. The sequential vehicle operation data, which does not include an explicit indication of whether the automatic driving feature was engaged, is provided for time intervals of a trip made by the vehicle. Automatic driving information is generated, which provides an indication of whether the automatic driving feature was engaged during a subset of the time intervals.

Abstract: A method estimates an intention of a lead vehicle by an ego vehicle. The method includes: (a) receiving, from at least one of a first plurality of sensors coupled to the ego vehicle, information associated with a parametric variable, (b) selecting a partition of an operating region of the parametric variable based on the parametric variable information, wherein the operating region includes a predetermined range of values for the parametric variable, wherein the partition includes a subset of the predetermined range of values and being associated with a predetermined ego vehicle input, and wherein the predetermined vehicle input includes at least one value for a parameter corresponding to dynamics of the ego vehicle, and (c) causing a vehicle control system of the ego vehicle to perform a vehicle maneuver based on the predetermined ego vehicle input.

Abstract: A method helps to protect an occupant of a vehicle (10) equipped with an automated driving system (200) and a vehicle safety system (100) by detecting low impact crash events (99) with the vehicle (10). The method includes utilizing automated driving sensors (220, 230, 240, 250, 260) of the automated driving system (200) to identify possible low impact collision risks. The method also includes utilizing vehicle safety system sensors (110, 115, 120, 125, 130) of the vehicle safety system to determine a low impact collision resulting from the identified possible low impact collision. A vehicle safety system (100) includes an airbag controller unit (150) configured to implement the method to determine low impact crash events with the vehicle (10).

Abstract: A parking assistance device includes: a calculation unit that calculates a target speed with passage of time until a vehicle is moved to a parking target position; an event detection unit that detects an event that is a predetermined event indicating a timing of recalculation of the target speed; and an acquisition unit that acquires a current actual speed of the vehicle. Then, when the event is detected, the calculation unit recalculates the target speed to match the target speed with the current actual speed of the vehicle.

Abstract: An information processing apparatus is mounted on a vehicle. The information processing apparatus includes a control unit that is configured to determine whether or not a driver of the vehicle is driving dangerously, and perform, when it is determined that the driver of the vehicle is driving dangerously, a first control process of determining output of a machine mounted on the vehicle to be performed at a second value that is smaller than a first value in a normal state, the first value determined according to first information based on a stroke amount of an accelerator pedal.

Abstract: Systems, methods, and apparatus related to cruise control for a vehicle. In one approach, speed for a first vehicle is controlled in a first mode using data from sensors. The speed is controlled while keeping at least a minimum distance from a second vehicle being followed by the first vehicle. In response to determining that data from the sensors is not usable to control the first vehicle (e.g., the data cannot be used to measure the minimum distance), the first vehicle changes from the first mode to a second mode. In the second mode, the first vehicle maintains a constant speed and/or obtains additional data from sensors and/or computing devices located externally to the first vehicle. In another approach, the additional data can additionally or alternatively be obtained from a mobile device of a passenger of the first vehicle. The additional data is used to maintain a safe minimum distance from the second vehicle.

Abstract: A method of determination of the alignment angles of two or more road vehicle (1) borne radar sensors (4) for a road vehicle radar auto-alignment controller (3) starting from initially available rough estimates of alignment angles. From at least two radar sensors (4) are obtained signals related to range, azimuth and range rate to detections. The detections are screened (5) to determine detections from stationary targets. From the determined detections from stationary targets is derived a linearized signal processing model involving alignment angles, longitudinal and lateral velocity and yaw-rate of the road vehicle (1). A filter algorithm is applied to estimate the alignment angles. Based on the estimated alignment angles are produced signals suitable for causing a road vehicle (1) radar auto-alignment controller (3) to perform radar offset compensation.

Abstract: The present invention obtains a controller and a control method capable of securing a driver's comfort during adaptive cruise control for a straddle-type vehicle. In the controller and the control method according to the present invention, during the adaptive cruise control in which the straddle-type vehicle is made to travel according to a distance from the straddle-type vehicle to a preceding vehicle, motion of the straddle-type vehicle, and a driver's instruction, when a state where a braking force is generated on at least one of wheels of the straddle-type vehicle is switched to a state where a drive wheel is driven using drive power output from a drive source of the straddle-type vehicle, the braking force generated on the at least one of the wheels is controlled such that a reference braking force is generated on the drive wheel at a time point at which the drive wheel starts being driven due to transmission of the drive power output from the drive source to the drive wheel.

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 dialog confirmation unit in a vehicle communication device calculates the deceleration of a vehicle on the basis of vehicle speeds, when the vehicle speed at an operation start time and the vehicle speed at a time when a certain time has elapsed since the operation start time have been obtained by a vehicle information acquisition unit. Next, the dialog confirmation unit calculates a change in distance on the basis of distances when a distance information acquisition unit has obtained the distance between the vehicle and an object in front at the operation start time and the distance at the time when a certain time has elapsed since the operation start time. Next, the dialog confirmation unit selects a dialog that corresponds to the deceleration and the change in distance, from among a plurality of dialogs.

Abstract: A vehicle control device executes a traveling control that controls traveling of an own vehicle to enable the own vehicle to follow a preceding vehicle traveling in front of the own vehicle. The vehicle control device includes: an environment prediction unit that predicts whether an adverse-effect change has occurred in a surrounding environment around the own vehicle, the adverse-effect change being likely to have an adverse effect on a fuel economy of the own vehicle; and an acceleration control unit configured to execute a prediction control that enables an acceleration of the own vehicle to be limited when the environment prediction unit predicts that the adverse-effect change has occurred in the surrounding environment.

Abstract: A traveling lane planning device has a processor configured to assess whether or not an approach zone exists on an adjacent lane between an event location and the current location of a vehicle, when the traveling lane plan includes a lane change from the traveling lane to the adjacent lane before the event location, to create a lane change plan in which the vehicle moves from the traveling lane to the adjacent lane after the vehicle has passed along the approach zone of the adjacent lane when it has assessed that the approach zone exists and to cause the vehicle to carry out a notification action which gives notice to the surrounding area of the vehicle that the vehicle will make a lane change from the traveling lane to the adjacent lane while the vehicle is traveling in the traveling lane along the approach zone of the adjacent lane.

Abstract: In cases in which an other vehicle traveling along an adjacent lane, which is adjacent to a travel lane of a host vehicle is executing a cut-in operation to move from the adjacent lane to a cut-in position ahead of the host vehicle in the travel lane, a processor controls a display section configured to display a travel lane image representing the travel lane, an adjacent lane image representing the adjacent lane, a lane boundary line image representing a lane boundary line defining a boundary between the travel lane and the adjacent lane, and an other vehicle image representing the other vehicle, such that the display section causes the other vehicle image to move in a discontinuous manner from a first position on the adjacent lane image to a second position on the lane boundary line image.

Abstract: A device and a method for predicting traffic information are provided. The traffic information predicting device may include a data calculating device configured to derive inter-vehicle spacings, inter-vehicle head spacings, and a vehicle density using a plurality of sensors mounted on a vehicle, and a predicting device configured to derive travel speed data corresponding to the vehicle density and predict traffic information.

Abstract: Systems, apparatuses and methods may provide for technology that conducts a real-time analysis of interior sensor data associated with a vehicle, exterior sensor data associated with the vehicle and environmental data associated with the vehicle. Additionally, the technology may determine whether a hazard condition exists based on the real-time analysis, wherein the hazard condition includes a deviation of a current behavior waveform from a reference behavior waveform by a predetermined amount. In one example, a safety measure is triggered with respect to the vehicle if the hazard condition exists. The safety measure may be selected based on a reaction time constraint associated with the hazard condition.

Abstract: An autonomous driving control apparatus for a vehicle includes: a processor to determine activation of an autonomous driving function depending on whether a current driving situation satisfies an activation condition of the autonomous driving function during autonomous driving control; and a storage configured to store a set of instructions and data for determination and performance by the processor. In particular, the processor controls a vehicle to satisfy the activation condition and then determines activation of the autonomous driving function when the activation condition is not satisfied and a request to activate the autonomous driving function is inputted from a user.

Abstract: In order to provide an enhanced driver assistance system for a vehicle, a prediction of a movement of the third-party vehicle is determined based upon motion data relating to a third-party vehicle travelling in front which has moved out of a region of view of at least one sensor of the vehicle, or relating to an oncoming third-party vehicle which has not yet entered the region of view of the sensor, and based upon map data. The driver assistance system is then operated on the basis of the prediction.

Abstract: A smart cruise control system includes a controller communicatively connected to a first sensor obtaining front image data and a second sensor obtaining front radar data, wherein the controller is configured to recognize a front vehicle based on the front image data and the front radar data, and in response to the front vehicle being not recognized in the front radar data and the front vehicle being recognized in the front image data, control the vehicle so that the vehicle is not accelerated even if the distance between the vehicle and the front vehicle recognized in the front image data is greater than the preset distance.

Abstract: A driving assistance apparatus for a vehicle includes a surrounding environment information acquirer that acquires environment information about a surrounding of the vehicle, a leading-vehicle detector that detects a leading vehicle based on the environment information, a moving-body detector that detects a moving body in the surrounding of the vehicle based on the environment information, a vehicle-speed detector that detects a vehicle speed of the vehicle, and a region setter that sets a cut-in detection region for detecting entrance of the moving body between the vehicle and the leading vehicle when a travel controller causes the vehicle to travel such that the vehicle follows the leading vehicle. The region setter sets a protruding region that is included in the cut-in detection region based on at least the vehicle speed such that a length of protrusion in a left-right direction of the protruding region increases as the vehicle speed decreases.

Abstract: A route subdivision apparatus configured to subdivide a travel route for conducting work that includes: an area setting unit configured to set a plurality of work areas on a map; a route setting unit configured to set a scheduled route from a start point to an end point so that the scheduled route passes through consecutive first to third areas of the plurality of work areas; an entry/exit point setting unit configured to set an entry point and an exit point of the scheduled route in each work area; a boundary setting unit configured to set a boundary point between the exit point of the first area and the entry point of the second area and between the exit point of the second area and the entry point of the third area; and a distance calculation unit configured to calculate a length of a distance of each section divided by the boundary point on the scheduled route.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit route information indicating a route associated with the UE. The UE may receive, based at least in part on transmitting the route information, configuration information indicating at least one other UE assigned to the UE for sidelink positioning. Numerous other aspects are described.

Abstract: A system and method for adaptive cruise control with proximate vehicle detection are disclosed. The example embodiment can be configured for: receiving input object data from a subsystem of a host vehicle, the input object data including distance data and velocity data relative to detected target vehicles; detecting the presence of any target vehicles within a sensitive zone in front of the host vehicle, to the left of the host vehicle, and to the right of the host vehicle; determining a relative speed and a separation distance between each of the detected target vehicles relative to the host vehicle; and generating a velocity command to adjust a speed of the host vehicle based on the relative speeds and separation distances between the host vehicle and the detected target vehicles to maintain a safe separation between the host vehicle and the target vehicles.

Abstract: A method for controlling a motor vehicle, comprising: retrieving road gradient data relating to an expected travelling route of the motor vehicle; based on at least the retrieved road gradient data and on a motor vehicle mass, simulating a required value of a braking power related variable, which required value is needed to prevent a vehicle speed from increasing above a preset desired vehicle speed in an upcoming downhill slope; determining an available value of the braking power related variable of at least one auxiliary brake of the motor vehicle; and based on the determined available value and the simulated required value of the braking power related variable, controlling the vehicle speed and/or at least one brake actuator of the motor vehicle such that the vehicle speed does not increase above the preset desired vehicle speed in the upcoming downhill slope.

Abstract: A face orientation system of a ride that includes one or more sensors and a controller. The controller receives ride cart data from the one or more sensors indicative of a presence and position of the ride cart on the ride. Further, the controller determines the ride cart's orientation based on the ride cart's data and receives position data of a guest from the one or more sensors indicative of a position of a body, a face, or a combination thereof, of the guest. Additionally, the controller determines the face orientation, the face rotation, or a combination thereof, of the guest based on the ride cart's orientation and the position data. Finally, the controller transmits data indicative of the determined face orientation, face rotation, or a combination thereof, to a downstream controller for subsequent control based upon the determined face orientation, face rotation, or the combination thereof.

Abstract: The present invention relates to a method, to a computer program comprising instructions and to a device for determining a vehicle spacing for an observation period. The invention also relates to a motor vehicle and to a back end, in which a method according to the invention, or device according to the invention, is used. In a first step, measurement values relating to an average vehicle spacing for a plurality of measurement times are received. These values may be stored for later use. The situation may arise in which an unusable measurement value is identified at an error time. In this case, a vehicle spacing for a current observation period that contains the error time is determined based on a vehicle spacing determined from the recorded measurement values for a previous observation period.

Abstract: An automatic running vehicle executes regular operation control based on an operation schedule provided from an operation management device. The automatic running vehicle includes an automatic running control unit. The automatic running control unit executes retreat control to move to a retreat position on the predetermined route and stop there upon receipt of a retreat instruction from the operation management device or an immediately following overtaking vehicle.

Abstract: Systems and methods for forecasting trajectories of objects. The method includes obtaining a prediction model trained to predict future trajectories of objects. The prediction model is trained over a first prediction horizon selected to encode inertial constraints in a predicted trajectory and over a second prediction horizon selected to encode behavioral constraints in the predicted trajectory. The method also include generating a planned trajectory of an autonomous vehicle by receiving state data corresponding to the autonomous vehicle, receiving perception data corresponding to an object, predicting a future trajectory of the object based on the perception data and the prediction model, and generating the planned trajectory of the autonomous vehicle based on the future trajectory of the object and the state data.

Abstract: A system for automatedly changing a first road lane of a vehicle to a second road lane to maintain engagement of an automated driving unit. The system comprises an ECU to check a location of the vehicle, defining a map segment of the first and second road lanes. The first road lane is a host lane that the vehicle occupies and the second road lane is an available lane. The ECU detects whether the first road lane has poor availability. The system further comprises a sensor to monitor availability of the first road lane. The system further comprises a backoffice to flag the first road lane if the first road lane is detected to have poor availability, to log the first road lane in an instance counter (IC), and to designate the first road lane as non-preferred if an occurrence threshold of the IC is reached. The system further comprises an automated lane change (ALC) unit to move the vehicle to the second road lane.

Abstract: Disclosed herein are systems, methods, and computer program products for predicting movement of an object in a real-world environment. The methods comprise: obtaining a plurality of image frames captured in a sequence during a period of time; identifying first image frames of the plurality of image frames that contain an image of at least one object with one or more turn signals; analyzing the first image frames to obtain a classification for a pose of the at least one object; using the classification of the pose of the at least one object to further obtain a type classification for at least one of the turn signals and a state classification for a state of at least one of the turn signals; and predicting movement of the at least one object based at least on the type and state classifications obtained for at least one of the turn signals.

Abstract: A control system having an ACC control, which for use in a host motor vehicle (ego) is configured and intended for recognizing a preceding motor vehicle (alter) and preferably preceding objects, based on surroundings data obtained from at least one front camera sensor associated with the host motor vehicle (ego). The front camera sensor (FKS) is configured for providing to an electronic control unit of the control system the surroundings data that represent an area in front of the host motor vehicle (ego).

Abstract: The vehicle control system comprises a vehicle speed acquisition device, a rotary-typed LIDAR and a controller. The vehicle speed acquisition device is configured to acquire traveling speed of a vehicle. The LIDAR is configured to acquire surrounding information of the vehicle using a laser beam. The controller is configured to control a rotational movement of the LIDAR. The controller is configured to execute processing to set a cycle of the rotational movement based on the traveling speed. In the setting processing, the controller is configured to set the cycle during the traveling speed is relatively fast to a longer cycle than that during the traveling speed is relatively slow.

Abstract: A proactive pedal algorithm is used to modify an accelerator pedal map to ensure the deceleration when the accelerator pedal is released matches driver expectation. Modifying the accelerator pedal map provides the driver of a vehicle the sensation that the vehicle resists moving when travelling in dense scenes with potentially high deceleration requirements and coasts easily in scenes with low deceleration requirements. The accelerator pedal map is modified based on a scene determination to classify other remote vehicles as in-lane, neighbor-lane, or on-coming.

Abstract: An ADS performs processing including setting an immobilization command to “Applied” when an autonomous state has been set to an autonomous mode, when an acceleration command has a value indicating deceleration, when an actual moving direction indicates a standstill state, and when a wheel lock request is issued, setting the acceleration command to V1, and setting the acceleration command to zero when an immobilization status has been set to “11”.

Abstract: A vehicle display device includes: a forward image acquiring section that acquires images of a region ahead of a vehicle; a vehicle information acquiring section that acquires vehicle information relating to traveling of the vehicle; a path predicting section that, based on the vehicle information acquired by the vehicle information acquiring section, predicts an own vehicle traveling line that is a traveling path of the vehicle; an ideal path deriving section that, based on the images of the region ahead of the vehicle acquired by the forward image acquiring section, derives an ideal traveling line that is a proper traveling path; and a display control section that displays the own vehicle traveling line and the ideal traveling line so as to be superposed on a view in front of a driver's seat.

Abstract: A method for evaluating an angular position of an object recognized on the basis of radar data, the radar data being ascertained by a radar device. The method includes: ascertaining of an intrinsic speed of the radar device; ascertaining a relative speed of the recognized object in relation to the radar device, using the ascertained radar data; ascertaining at least one angular test region using the ascertained intrinsic speed and the ascertained relative speed, the at least one angular test region corresponding to possible stationary objects that have a relative speed that substantially corresponds to the ascertained relative speed; and ascertaining whether an azimuth angle of the recognized object lies in the ascertained angular test region.

Abstract: Described herein is a method of determining a current location speed limit in a road vehicle (1) speed limit information system (20). The method comprises receiving (6): one or more signals corresponding to respective candidate speed limits (7); and one or more signals related to observed vehicle dynamics affecting changes (8) in one or more vehicles (1, 5) pre and post a most recently passed anticipated speed limit change location (2). It further comprises evaluating (9) the confidence of the different candidate speed limits (7) based on the signals related to observed vehicle dynamics affecting changes (8) and validating (10a) or discarding (10b) candidate speed limits (7) based on the evaluated confidences. A signal (13) corresponding to a highest confidence validated speed limit is output.

Abstract: The present disclosure relates to adaptive cruise control in the field of automatic driving, and discloses a vehicle control method, an apparatus, an electronic device and a storage medium. A specific implementation is: firstly, determining a target travelling scenario according to real-time monitoring data upon fulfilment of a preset update condition; then, determining a target time headway according to the target travelling scenario, where the target time headway is used to dynamically adjust a relative motion state between an host vehicle and a surrounding vehicle; and finally, controlling a vehicle according to the target time headway. It solves the problem of the prior art in overemphasizing the state of the vehicle ahead for automatic driving control while overlooking the perception of the driver or passenger of the host vehicle in the travelling scenario can prompt the driver to manually intervene, compromising the experience of the automatic driving.

Abstract: An aspect of the disclosure provides an apparatus and a method for improving fuel efficiency of a plug-in hybrid electric vehicle. The apparatus for assisting driving of a host vehicle includes an input configured to receive an input for activation of a fuel efficiency mode; and a controller configured to: in response to receiving the input for activation of the fuel efficiency mode, determine a control factor for power distribution based on route information received from a navigation device of the host vehicle and a state of a battery, and perform power distribution based on the control factor.

Abstract: In an autonomous driving apparatus and method, the apparatus includes a sensor unit, an output unit, a memory, and a processor configured to control the autonomous driving of an ego vehicle based on a map information stored in the memory. The processor generates an actual driving trajectory and an expected driving trajectory of a surrounding vehicle around the ego vehicle based on driving information of the surrounding vehicle detected by the sensor unit and the map information and controls one or more of the driving of the ego vehicle and provides communication with an external organization, based on a state of a passenger detected by the sensor unit when an autonomous driving mode of the ego vehicle is turned off, and based on an autonomous driving risk of the ego vehicle determined based on a trajectory error between the actual driving trajectory and expected driving trajectory of the surrounding vehicle.

Abstract: Provided is a pedestrian protection apparatus. An image capturer captures a far infrared (FIR) image of an object in front of a vehicle. A sensor is mounted on a bumper of the vehicle and senses at least one of a change in acceleration and a change in pressure of the bumper caused by a collision between the vehicle and an object located in front of the vehicle. A controller determines whether or not the object is a pedestrian candidate in accordance with the FIR image captured by the image capturer, determines whether or not the pedestrian candidate is a pedestrian in accordance with at least one of the change in the acceleration and the change in the pressure sensed by the sensor, and operates a protector for pedestrian protection in response to the pedestrian candidate being identified as the pedestrian.

Abstract: A vehicular breaking force control system includes: a plurality of actuators capable of generating a braking force for a vehicle; a coasting state detection unit configured to detect that a coasting state has been established; a target braking force calculation unit configured to calculate a target braking force on the basis of a state of the vehicle when the coasting state detection unit detects that the coasting state has been established; and a braking force distribution control unit configured to determine a distribution braking force that is a braking force to be caused to be generated by each actuator, such that the distribution braking force is equal to or less than a braking force generable by the actuator and a sum of the distribution braking forces is equal to the target braking force, and to perform control of causing each actuator to generate the distribution braking force.