Abstract: A method for operating a driver assistance system of a vehicle in an assistance mode. A driver input instantaneously expressed by a driver of the vehicle by an angular position of a gas pedal of the vehicle is converted into a power setpoint value of the vehicle influencing a vehicle acceleration of the vehicle, as a function of an instantaneous vehicle acceleration value of the vehicle and a target acceleration value of a target vehicle, to assist the driver with imitating a driving behavior of the target vehicle.

Abstract: The technology relates to detecting and responding to processions. For instance, sensor data identifying two or more objects in an environment of a vehicle may be received. The two or more objects may be determined to be disobeying a predetermined rule in a same way. Based on the determination that the two or more objects are disobeying a predetermined rule, that the two or more objects are involved in a procession may be determined. The vehicle may then be controlled autonomously in order to respond to the procession based on the determination that the two or more objects are involved in a procession.

Abstract: An automated cruise control system is disclosed. Sensors detect driving parameters associated with the ground vehicle as the ground vehicle maneuvers along a segment of the roadway. A ground vehicle control detector detects ground vehicle control inputs associated with an operation of the ground vehicle. The ground vehicle control inputs are generated from a longitudinal operation of the ground vehicle. A energy consumption cruise controller automatically adjusts the operation of the ground vehicle as the ground vehicle maneuvers along the segment of the roadway to maintain the operation of the ground vehicle within an operation threshold based on the detected driving parameters and ground vehicle control inputs. The operation threshold is the operation of the ground vehicle that decreases an amount of overall energy consumed by the ground vehicle and maintains a longitudinal speed of the ground vehicle within a longitudinal speed threshold.

Abstract: On the basis of a target completion position as a position for completing an ON operation of a brake in front of a corner of a predetermined traveling course in a predetermined traveling course, a target completion vehicle speed as a target completion position in the target traveling pattern, a target deceleration as a deceleration at the target completion position in the target traveling pattern, and a vehicle speed of the vehicle, a start timing for starting an ON operation of the brake so that the vehicle speed is reduced to the target completion position at the target deceleration and becomes the target completion vehicle speed at the target completion position is set, and the notification device controls the notification device to perform a brake ON notification which is a notification for prompting the ON operation of the brake at the set start timing.

Abstract: Provided is a method for use by a driving assistance apparatus that assists a transition from an autonomous driving mode in which a vehicle is driven under autonomous control to a manual driving mode in which the vehicle is driven by a driver. The method includes: detecting an activity by the driver; detecting conditions of the driver; and determining a take-over request method which is a method of presenting, in the vehicle, a take-over request that informs the driver that the autonomous driving mode is going to be cancelled, the determining being based on at least the detected activity by the driver and the detected conditions.

Abstract: Among other things, we describe techniques for implementing a vehicle response to sensor failure. In general, one innovative aspect of the subject matter described in this specification can be embodied in methods that include receiving information from a plurality of sensors coupled to a vehicle, determining that a level of confidence of the received information from at least one sensor of a first subset of sensors of the plurality of sensors is less than a first threshold, comparing a number of sensors in the first subset of sensors to a second threshold, and adjusting the driving capability of the vehicle to rely on information received from a second subset of sensors of the plurality of sensors, wherein the second subset of sensors excludes the at least one sensor of the first subset of sensors.

Abstract: Disclosed embodiments include systems, vehicles, and computer-implemented methods to adjust a threshold level of force to be applied to a steering wheel to disengage an autosteering system. In an illustrative embodiment, a system includes a computing device operably coupled with a vehicle that includes a processor and a computer-readable media configured to store computer-executable instructions configured to cause the processor to: detect that an autosteering system of the vehicle is engaged; detect a level of force applied by an operator to a steering wheel of the vehicle; and disengage the autosteering system when the level of force surpasses a threshold chosen from a default threshold and an adjusted threshold, wherein the adjusted threshold is applied upon detecting a predetermined condition.

Abstract: A control system for a vehicle includes a first controller, a second controller, and an auto-tuner. The first controller is configured to generate an optimal trajectory of the vehicle along a path. The second controller is configured to, based on the optimal trajectory generated by the first controller, generate motoring and braking commands to a motoring and braking system of the vehicle for controlling the vehicle to travel along the path. The auto-tuner includes a processor configured to solve a real-time optimization problem to determine at least one parameter of at least one of the first controller or the second controller.

Abstract: A motor control apparatus includes: a motor; an inverter circuit configured to drive the motor; a first wiring connecting the motor and the inverter circuit; a second wiring connecting the motor and the inverter circuit; a first sensor configured to detect a first current flowing through the first wiring; a second sensor configured to detect a second current flowing through the second wiring; and a dynamic braking circuit, and the dynamic braking circuit is connected between the first sensor and the motor and between the second sensor and the inverter circuit.

Abstract: A first vehicle in traffic can use machine learning and artificial intelligence to detect an imminent collision with a second vehicle or other object. A well-trained AI algorithm can select a sequence of actions (braking, swerving, or accelerating—depending on the specific kinetics) to avoid the collision if possible, and to reduce or minimize the harm if unavoidable. With proper training, the AI model may also infer the intent and future actions of the second vehicle, as well as potential interference of other traffic agents. A good algorithm can also infer the intent of the driver of the first vehicle, for example based on prior driving habits. The AI algorithm may be implemented in a processor on the subject vehicle, potentially in communication with another processor at a fixed site such as a local access point or a central supercomputer.

Abstract: An autonomous or semi-autonomous vehicle can detect an imminent collision according to sensor data and responsively select an action or a sequence of actions to avoid the collision if avoidable, and to reduce or minimize the harm of the collision if unavoidable. An artificial intelligence model may be used to process the sensor data, detect the imminent collision, and select the collision avoidance action or actions, or the harm-reduction or harm-minimization action or actions. For example, when the collision is considered unavoidable, the vehicle may apply the brakes to reduce the vehicle's speed and therefore, the severity of the impact. When the collision is considered avoidable, the vehicle may automatically apply steering to avoid the potential collision, such as when the vehicle is departing a lane and may collide with a vehicle traveling in the same or opposite direction.

Abstract: A cruise control interlock system detects a current set of conditions for a vehicle, compares the current conditions with cruise control interlock conditions (e.g., an adjustable threshold state of a windshield wiper system), and executes a process to deactivate the cruise control system. The process to deactivate functionality of the cruise control system may include presenting a notification to the operator to alert the operator to an upcoming automatic deactivation or to encourage the operator to deactivate cruise control. The process also may include a vehicle de-rate process (e.g., reducing vehicle speed) to induce the operator to deactivate cruise control. Deactivation of cruise control may be postponed in some situations, such as when the vehicle is ascending an uphill grade or where doing so may deactivate an active downhill speed control function.

Abstract: Techniques for determining a location for a vehicle to join a route structure are discussed herein. A vehicle computing system may operate the vehicle off the route structure according to an inertial-based reference frame. The vehicle computing system may determine a lateral distance of the vehicle to a route of the route structure and an angular difference between a heading of the vehicle and a direction of travel associated with the route. The vehicle computing system may determine a location to rejoin the route based on the lateral distance and the angular difference. In some examples, the vehicle computing system may determine the location based on a sigmoid function. The vehicle computing system may determine a vehicle trajectory to the location and may control the vehicle to the route based on the vehicle trajectory and the inertial-based reference frame.

Abstract: While a vehicle is traveling in an automatic driving mode, an auto-driving oil pressure changing unit makes the engagement pressure of hydraulic oil supplied to a release-side engagement device to be released during a downshift of a stepwise shifting unit, higher than the engagement pressure set during traveling in a manual driving mode, so that retraction of the acceleration due to a drop of drive torque during the downshift is reduced. At this time, an auto-driving rotating machine controller makes drive-side MG2 torque generated from a second rotating machine, larger than that generated during traveling in the manual driving mode, so as to speed up the progress of the downshift, and prevent retraction of the acceleration from being prolonged.

Abstract: A backup camera for mounting on a vehicle tailgate. The backup camera includes a mounting base and an optical support housing rotatably engaged to the mounting base, the optical support housing rotatable between a first housing position and a second housing position; A lens element, generating a field of view, is mounted on the optical support housing and a digital imaging sensor is in communication with the lens element. The field of view is at least partially perpendicular to the tailgate plane when the optical support housing is in the first housing position. The field of view is at least partially parallel to the tailgate plane when the optical support is in the second housing position.

Abstract: A vehicle management device detects a traveling position that is a position in which a convoy is traveling. The convoy is constituted by vehicles that are lined up. The vehicle management device determines a platooning notification device based on the traveling position and requests the platooning notification device to output notification information about the convoy.

Abstract: A method for displaying a feasibility of an at least semi-automatically executable driving maneuver in a transportation vehicle wherein data regarding the surroundings of the transportation vehicle forms the basis for determining whether the driving maneuver is able to be executed in the position of the transportation vehicle. A first graphical object is generated and displayed on a display surface, which signals whether the driving maneuver is able to be executed. A device for displaying a feasibility of an at least semi-automatically executable driving maneuver in a transportation vehicle.

Abstract: A method for operating a tractive vehicle and a vehicle combination are disclosed. A tractive vehicle includes a first friction brake device for generating a first stopping braking-force, a traction device for generating a tractive force and a control device for controlling at least the traction device. The method includes a step whereby the traction device activated if a first undesired kinematic state is detected. Activation of the traction device would take place in such a way that a tractive force, counteracting the first undesired kinematic state, is generated and provided for deceleration to a standstill and/or for holding the tractive vehicle at a standstill.

Abstract: Disclosed is a vehicular environment estimation device capable of accurately estimating a travel environment around own vehicle on the basis of a predicted route of a mobile object or the like, which is moving in a blind area. A vehicular environment estimation device that is mounted in the own vehicle detects a behavior of another vehicle in the vicinity of the own vehicle, and estimates a travel environment, which affects the traveling of another vehicle, on the basis of the behavior of another vehicle. For example, the presence of another vehicle, which is traveling in a blind area, is estimated on the basis of the behavior of another vehicle. Therefore, it is possible to estimate a vehicle travel environment that cannot be recognized by the own vehicle but can be recognized by another vehicle in the vicinity of the own vehicle.

Abstract: Various aspects of the subject technology relate to a lidar validation system. The lidar validation system is configured to acquire one or more lidar point clouds from a lidar unit, wherein the lidar unit comprises one or more lasers, and wherein each point cloud is a representation of a scene according to a laser in the lidar unit, the scene comprising a fiducial target. The lidar validation system is configured to generate, based on points in the one or more point clouds, a target cloud that correspond to the fiducial target, perform a rigid body processing to minimize a sum of distances from each point in the target cloud to the fiducial target, and generate lidar validation measurements based on the distances from each point in the target cloud to the fiducial target.

Abstract: An information processing apparatus comprises a controller configured to execute periodically acquiring relative speed between two vehicles which are traveling on a same road; and performing predetermined processing in a case where a number of times that polarity of the relative speed is inverted in a first period exceeds a first threshold.

Abstract: It is desired to be able to easily identify a cause of a communication abnormality in an industrial machine. A controller of an industrial machine which communicates with an external device through a network includes: a plurality of communication units which respectively correspond to a plurality of communication protocols; and a diagnosis unit which starts up the communication units in a predetermined order and attempts communication using the communication protocols corresponding to each communication unit that is started up so as to diagnose the conditions of communication step by step.

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: Based on a model and an identity of an operator of a vehicle, a setting for a cruise control to maintain a distance between the vehicle and a preceding vehicle can be determined. The model can be based on historical distances maintained by the operator. The model can also be based on information about an environment in which the vehicle is operating or information about a state of the operator. The identity can be received from an interface configured to receive information associated with the identity, a cloud computing platform, or a biometric system configured to determine the identity. The cruise control can be caused to operate according to the setting. A rate of energy consumption by the vehicle when the vehicle is controlled by the cruise control can be less than the rate of energy consumption when the vehicle lacks being controlled by the cruise control.

Abstract: A driver assistance system for a motor vehicle for automated driving includes automated longitudinal guidance, wherein, when automated longitudinal guidance is active in an automatic mode, automated longitudinal guidance is initiated in consideration of a predefinable setpoint speed.

Abstract: The present disclosure relates to a method of generating a target operational speed band (53; 63; 67) for a host vehicle (1) travelling along a route. A first time-dependent obstacle (15-n, 18-n) is identified at a first location on the route. The first time-dependent obstacle (15-n, 18-n) is identified as hindering progress of the host vehicle (1) during a first time period (11). The first time-lin dependent obstacle (15-n, 18-n) is defined in a two-dimensional speed against distance map (50, 60). A first speed trajectory (51, 52; 61; 65, 66) is determined from a first point to a second point within the two-dimensional speed against distance map (50, 60). The second point represents the first location on the route and the determined first speed trajectory (51, 52; 61; 65, 66) represents the host vehicle (1) arriving at the first location at a first arrival time.

Abstract: A vehicle-to-vehicle distance control device includes a delay distance calculation unit and a delay distance compensation unit. In a running scene in which the velocity of a leading vehicle changes, a delay distance generated owing to a delay in a vehicle velocity control unit is calculated, and, while a delay distance compensation vehicle velocity command to compensate for the delay distance is considered for a vehicle velocity command, an actual vehicle-to-vehicle distance is controlled to be matched with a target track from an initial value of the vehicle-to-vehicle distance until arrival at a target vehicle-to-vehicle distance obtained after the leading vehicle accelerates/decelerates.

Abstract: A wheeled vehicle includes a vehicle body, a vibration absorbing element, an auxiliary arm, a wheel, and a driving member. The vehicle body includes a fixing plate. The housing connected to the fixing plate. The vibration absorbing element includes a first end and a second end. The first end is fixed to the housing. The auxiliary arm includes a connecting end and a free end. The connecting end is connected to the housing. The free end is configured to swing relative to the connecting end. The free end is fixed to the second end. The wheel includes an axle, and the axle is rotationally connected to the free end. The driving member is fixed to the housing and configured to drive the wheel.

Abstract: A monitoring system for a travel drive includes a rotational speed sensor of a hydrostatic motor. The rotational speed sensor is configured to determine acceleration. At least one signal from a pressure sensor mounted on at least one working line that connects a pump to the hydrostatic motor of a hydrostatic travel drive is evaluated. The pressure sensor is preferably arranged on at least one working connection of the pump. The system uses the additional pressure signal to evaluate in a reliable manner whether the hydrostatic travel drive generates an unwanted drive torque.

Abstract: Encoded information means located on an infrastructure to be decoded by sensors located on mobiles, in such a way that these means encode the position they occupy in the infrastructure and allow for a mobile travelling along the same trajectory, provided with the adequate sensor, to read, decode and transform it immediately into information on its exact position in the infrastructure and being characterised by the fact that along the same trajectory described by a mobile it is possible to encode information in the infrastructure by means of different objects presenting dielectric change boundaries or dielectric/metal boundaries at different heights or distances regarding the origin of the onboard sensor, these boundaries being interrogated by a sensor on board the mobile by means of pressure or electromagnetic waves and by measuring the time the waves take to return to the sensor, making it possible to determine the distance at which the reflections occur and in this way to extract the information.

Abstract: The present invention relates to a method for determining a desired speed of a vehicle (1), preferably an autonomous vehicle. The vehicle comprises a shock absorber arrangement (2), preferably an hydraulic shock absorber arrangement, having an elastic hysteresis. The method comprises—obtaining (501) a reference value indicative of the energy dissipated by the shock absorber arrangement (2) in a reference driving condition of a vehicle and—determining (502) a speed of the vehicle for which the value indicative of the energy dissipated by the shock absorber arrangement (2) in a similar driving condition is expected to fall within a predetermined energy dissipation range, using said reference value.

Abstract: The present invention obtains a controller and a control method capable of appropriately executing automatic emergency deceleration operation of a straddle-type vehicle. In the controller according to the present invention, when the automatic emergency deceleration operation of the straddle-type vehicle is executed, at a braking start time point at which a braking force starts being generated on at least one of wheels, braking force distribution between the front and rear wheels is brought into an initial state where the braking force is generated on the front wheel. In the control method according to the present invention, when the automatic emergency deceleration operation of the straddle-type vehicle is executed, at the braking start time point at which the braking force starts being generated on at least one of the wheels, the braking force distribution between the front and rear wheels is brought into the initial state where the braking force is generated on the front wheel.

Abstract: An operating system for an automated vehicle includes a failure-detector and a controller. The failure-detector detects a component-failure on a host-vehicle. Examples of the component-failure include a flat-tire and engine trouble that reduces engine-power. The controller operates the host-vehicle based on a dynamic-model. The dynamic-model is varied based on the component-failure detected by the failure-detector.

Abstract: A program stored in a mobile terminal including a computer, a camera, a display, and a communication device, the program being configured to operate an operation target vehicle from outside with use of the mobile terminal, the operation target vehicle being registered in advance, the program causing the computer to execute: a step of estimating a distance from the mobile terminal to the operation target vehicle based on a size of an image of the operation target vehicle included in a photographed image of the camera; a step of determining whether or not the estimated distance is less than a prescribed threshold; a step of receiving an operation instruction with respect to the operation target vehicle when the estimated distance is less than the threshold; and a step of causing the communication device to output a signal instructing an operation in response to the received operation instruction.

Abstract: The present invention provides a saddle ride type vehicle including a sensing unit configured to sense a four-wheel vehicle that is present in front of a self-vehicle and is traveling in a travel lane of the self-vehicle, and a control unit configured to, in a case where the four-wheel vehicle is sensed by the sensing unit, perform follow-travel control for causing traveling of the self-vehicle to follow traveling of the four-wheel vehicle, wherein the sensing unit senses a vehicle width of the four-wheel vehicle, and the control unit, in the follow-travel control, controls a travel position in a vehicle width direction of the self-vehicle so that at least a portion of the self-vehicle falls within a region within the vehicle width of the four-wheel vehicle.

Abstract: A method for providing a cruising speed recommendation to an operator of a vehicle includes determining a projected route; receiving route characteristic data including route elevation data; determining a sampling resolution; sampling the route elevation data at the sampling resolution to generate sampled route elevation data; determining at least one start of uphill position and at least one start of downhill position; determining at least one cruise speed route segment based at least in part on the at least one start of uphill position and the at least one start of downhill position; determining a corresponding cruising speed for the at least one cruise speed route segment based at least in part on one or more of the route elevation data and the sampled route elevation data; and communicating the corresponding cruising speed for the at least one cruise speed route segment.

Abstract: Systems and methods are disclosed. The system is configured to determine a weight distribution of a vehicle and determine a trajectory associated with the vehicle. The system is further configured to generate a vehicle recommendation based on the weight distribution of the vehicle and the trajectory associated with the vehicle.

Abstract: There is provided an electrically driven vehicle that well balances calculation volumes and communication volumes of two control devices configured to drive and control motors for driving. The electrically driven vehicle comprises at least one motor for driving and a first control device and a second control device configured to control the motor. The first control device is configured to calculate a target torque that is to be output from the motor, based on information including an accelerator position, to calculate a current command based on the calculated target torque, and to send the calculated current command to the second control device. The second control device is configured to use the current command, a phase current of the motor and a rotational angle of the motor such as to drive the motor by feedback control.

Abstract: Systems and methods for controlling a vehicle are described. A processor of a longitudinal planning system determines a state of the vehicle. The processor determines a state of a leader vehicle. The processor, based on the determined state of the vehicle and the determined state of the leader vehicle, determines a critical distance for the vehicle. The processor compares a distance between the vehicle and the leader vehicle with the critical distance. The processor, based on the comparison, determines whether the vehicle is too close to or too far from the leader vehicle. The processor, based on the determination, applies one or more of overshoot constraints, undershoot constraints, and critical constraints. After applying the one or more of overshoot constraints, undershoot constraints, and critical constraints, the processor determines a target acceleration for the vehicle. The processor controls the vehicle to track the target acceleration for the vehicle.

Abstract: A method for determining a reference control profile for a vehicle, including determining (A1) a plurality of control profiles for the vehicle (1) based on topographic information for one and the same future route segment and selecting (A2) one of the plurality of control profiles as a reference control profile, the selection (A2) being based on a tradeoff criterion considering resource consumption and drivability of the plurality of control profiles. The disclosure also relates to a control arrangement (2) for determining a reference control profile for a vehicle (1) and a vehicle comprising the control arrangement (2).

Abstract: A control device for a vehicle includes an operation unit, an operation-unit sensor, a motor, and a driving force controller. The operation-unit sensor is configured to detect an operation-unit operation amount. The operation-unit operation amount is an amount of operation of the operation unit. The motor is capable of generating a negative driving force for decelerating the vehicle. The driving force controller is configured to cause the motor to drive a wheel of the vehicle with the negative driving force on a basis of the operation-unit operation amount, and to derive the negative driving force in accordance with an initial time change. The initial time change represents an amount of change in the operation-unit operation amount per unit time relative to an operation-unit operation amount at an initial position of the operation unit.

Abstract: A vehicle lane change control apparatus includes a condition information acquisition unit that acquires condition information of an occupant of a vehicle, a lane change rate database unit that stores a lane change rate that is determined based on a lane change pattern of a driver analyzed based on driving information when a lane of the vehicle is changed and road condition information when the lane of the vehicle is changed and indicates a speed of the lane change, and a control unit that changes the lane of the vehicle through steering control according to operation information of the vehicle, and based on the condition information of the occupant acquired by the condition information acquisition unit, controls the lane change of the vehicle by selectively using the lane change rate and a corrected lane change rate determined by increasing or decreasing the lane change rate.

Abstract: A driving assistance apparatus is configured to determine whether a preset deceleration assistance start condition is satisfied, start deceleration assistance for a driver's vehicle against a first deceleration-triggering object, determine whether a preset deceleration assistance termination condition is satisfied, issue a deceleration assistance termination notification to a driver of the driver's vehicle, determine whether a second deceleration-triggering object is detected ahead of the driver's vehicle, and determine whether a preset quick resumption condition is satisfied. The driving assistance apparatus is configured not to issue the deceleration assistance termination notification when the driving assistance apparatus determines that the quick resumption condition is satisfied, even in a case where the driving assistance apparatus determines that the deceleration assistance termination condition for the first deceleration-triggering object is satisfied.

Abstract: A method comprises receiving driving data from a plurality of connected vehicles approaching an intersection, the driving data comprising a speed and position of a connected vehicle, determining estimated times of arrival that each of the connected vehicles will arrive at the intersection based on the driving data, scheduling the connected vehicles to cross the intersection in a particular order based on the estimated times of arrival, and transmitting the scheduled order to the connected vehicles.

Abstract: A control system controls an operation mode of a mobile robot that autonomously moves in a predetermined area, and includes a feature detection unit, a classifying unit, and a system controller. The feature detection unit detects features of a person who is present in the vicinity of the mobile robot. The classifying unit classifies the person into a predetermined first group or a predetermined second group based on the features. The system controller selects a first operation mode when the person who belongs to the first group is present in the vicinity of the mobile robot and selects a second operation mode that is different from the first operation mode when the person who belongs to the first group is not present in the vicinity of the mobile robot, thereby controlling the mobile robot.

Abstract: A method and apparatus for controlling a vehicle is disclosed. The method may include: determining center points of at least two frames of point clouds collected for an identified obstacle during travelling of the vehicle; performing curve fitting based on the determined center points to obtain a fitted curve; determining a moving velocity of the obstacle based on the fitted curve; predicting whether the vehicle is to be collided with the obstacle when the vehicle continues travelling at a current velocity, based on the moving velocity of the obstacle, the traveling velocity of the vehicle, and a distance between the obstacle and the vehicle; and sending control information to the vehicle, in response to predicting that the vehicle is to be collided with the obstacle when the vehicle continues travelling at the current velocity, the control information being used to control the vehicle to avoid collision with the obstacle.

Abstract: There is provided a travel control apparatus. A recognition unit recognizes a division line of a road on which a self-vehicle is traveling. A control unit executes lane maintenance control to perform lane maintenance of the self-vehicle based on a recognition result of the division line by the recognition unit. If the recognition unit has become unable to recognize the division line in a case in which a first control state for executing the lane maintenance control without issuance of a steering wheel gripping request is set, the control unit will allow preceding vehicle following control, for following a preceding vehicle of the self-vehicle, to be executed after switching the lane maintenance control to manual driving.

Abstract: A vehicle control apparatus that controls a vehicle based on peripheral information of the vehicle, comprising: a first operator used to start first travel control; a second operator used to resume the first travel control after the first travel control has been terminated; a third operator used to further start second travel control during the first travel control; and a control unit configured to, while the first travel control and the second travel control are active, if the first travel control and the second travel control are terminated based on the same condition or the same timing, resume the first travel control and the second travel control in accordance with an operation of the second operator.

Abstract: Various aspects of the subject technology relate to a lidar validation system. The lidar validation system is configured to acquire one or more lidar point clouds from a lidar unit, wherein the lidar unit comprises one or more lasers, and wherein each point cloud is a representation of a scene according to a laser in the lidar unit, the scene comprising a fiducial target. The lidar validation system is configured to generate, based on points in the one or more point clouds, a target cloud that correspond to the fiducial target, perform a rigid body processing to minimize a sum of distances from each point in the target cloud to the fiducial target, and generate lidar validation measurements based on the distances from each point in the target cloud to the fiducial target.

Abstract: A travel control system for a vehicle includes a vehicle speed calculator, a mode continuation determiner, and a mode continuing unit. The vehicle speed calculator evaluates a level of worsening of a traveling environment and calculates a first vehicle speed on the basis of the level of the worsening of the traveling environment. The mode continuation determiner determines whether it is possible to continue with driving assist control in the second driving assist mode by comparing a second vehicle speed in the second driving assist mode with the first vehicle speed. When it is not possible to continue with the driving assist control in the second driving assist mode, the mode continuing unit lowers the second vehicle speed in the second driving assist mode to the first vehicle speed to allow the driving assist control in the second driving assist mode to continue.