Abstract: A travel support device including a memory that stores section information including information on a position along a traveling direction of a lane and connection information, sign information indicating contents indicated by a sign, and related information including information associating the section information with the sign information, the related information further including specifying information and regulation information, and processing circuitry that specifies a current location of a vehicle using the sign information in response to determining that the specifying information indicates that the sign can be used to specify the position of the vehicle traveling at the predetermined point, and guides the vehicle using the sign information in response to determining that the regulation information indicates that the sign contents correspond to the regulation on the vehicle traveling at the predetermined point.

Abstract: Techniques are discussed for evaluating trajectories based on risk associated with the trajectories with respect to predicted locations of objects in an environment. A vehicle can capture sensor data of an environment, which may include object(s) separate from the vehicle, such as another vehicle or a pedestrian. A prediction system can output a discretized probability distribution comprising prediction probabilities associated with possible locations of the object in the future. Heat maps, as an example discretized probability distribution, can represent one or more objects. Trajectories can be generated for the vehicle to follow in the environment. An overlap between a region of the vehicle along a trajectory and the heat map can be determined, and a probability associated with the overlap can represent a risk associated with a trajectory navigating through the environment. The vehicle can be controlled based on risks associated with the various trajectories.

Abstract: A method for sharing data using a mobile edge computing (MEC) server in an autonomous driving system includes receiving a first controller area network (CAN) message from a first vehicle, generating a V2X message including information of the first CAN message when autonomous vehicle information is registered in the MEC server, and transmitting the V2X message to an autonomous vehicle connected to the MEC server via broadcast. This allows data to be shared between vehicles using different data types. At least one of an autonomous vehicle, a user terminal, and a server of the present disclosure may be associated with an artificial intelligence module, a drone (Unmannered Aerial Vehicle, UAV) robot, an augmented reality (AR) device, a virtual reality (VR) device, a device related to a 5G service, and the like.

Abstract: A method for predicting lane error based on an identifier of a lane segment is disclosed. The method includes receiving a predicted location in a lane segment of a plurality lane segments for a first vehicle traveling on the lane segment. The method includes receiving a determined location of the first vehicle in the lane segment for the first vehicle. The method includes determining a difference between the predicted location in the lane segment received for the first vehicle and the determined location of the first vehicle in the lane segment. The method includes providing the determined difference between the predicted location in the lane segment received for the first vehicle and the determined location of the first vehicle in the lane segment and an identifier of the lane segment as first training data to a lane error estimation model.

Abstract: An example includes obtaining first sensor data from a first sensor and second sensor data from a second sensor, the first sensor of a first sensor type different than a second sensor type of the second sensor; generating first encoded sensor data based on the first sensor data and second encoded sensor data based on the second sensor data; generating a contextual fused sensor data representation of the first and second sensor data based on the first and second encoded sensor data; generating first and second reconstructed sensor data based on the contextual fused sensor data representation; determining a deviation estimation based on the first and second reconstructed sensor data, the deviation estimation representative of a deviation between: (a) the first reconstructed sensor data, and (b) the first sensor data; and detecting an anomaly in the deviation estimation, the anomaly indicative of an error associated with the first sensor.

Abstract: A system and method for outputting vehicle dynamic controls using deep neural networks that include receiving environmental sensor data from at least one sensor of a vehicle of a surrounding environment of the vehicle. The system and method also include inputting the environmental sensor data to a primary deep neural network structure and inputting intermediate representation, at least one applicable traffic rule, and at least one applicable vehicle maneuver to a secondary deep neural network structure. The system and method further include outputting vehicle dynamic controls to autonomously control the vehicle to navigate within the surrounding environment of the vehicle based on the at least one applicable traffic rule and the at least one applicable vehicle maneuver.

Abstract: A driving control system includes an automatic driving control device and a driver monitoring device. The automatic driving control device includes a driver state determining unit, an override detector, a retreat mode controller, and a retreat mode canceler. During traveling under an automatic driving mode, when the driver state determining unit determines from a driver state detected by the driver monitoring device that the driver is not in a state capable of driving normally, the retreat mode controller sets a retreat mode in which an override operation is disabled and an own vehicle is caused to travel for retreat. When the driver state determining unit determines, during traveling for retreat, that the driver has returned to the state capable of driving normally, the retreat mode canceler cancels the retreat mode, and enables detection of the override operation of the driver by the override detector.

Abstract: Techniques for generating trajectories and drivable areas for navigating a vehicle in an environment are discussed herein. The techniques can include receiving a reference trajectory representing an initial trajectory for a vehicle, such as an autonomous vehicle, to traverse the environment. Portions of the reference trajectory can be identified as corresponding to actions to navigate around a double-parked vehicle or to change lanes, for example. In some cases, a portion of the reference trajectory can be identified based on a proximity to an object in the environment. A weight can be associated with the portions of the reference trajectory, and the techniques can include evaluating a reference cost function at points of the reference trajectory based on the associated weights to generate a target trajectory. Further, the techniques can include controlling the autonomous vehicle to traverse the environment based at least in part on the target trajectory.

Abstract: Sensor data collected from an autonomous vehicle data can be labeled using sensor data collected from an additional vehicle. The additional vehicle can include a non-autonomous vehicle mounted with a removable hardware pod. In many implementations, removable hardware pods can be vehicle agnostic. In many implementations, generated labels can be utilized to train a machine learning model which can generate one or more control signals for the autonomous vehicle.

Abstract: A system and method for providing autonomous vehicular navigation within a crowded environment that include receiving data associated with an environment in which an ego vehicle and a target vehicle are traveling. The system and method also include determining an action space based on the data associated with the environment. The system and method additionally include executing a stochastic game associated with navigation of the ego vehicle and the target vehicle within the action space. The system and method further include controlling at least one of the ego vehicle and the target vehicle to navigate in the crowded environment based on execution of the stochastic game.

Abstract: A vehicle control system includes: a recognition unit (16, 321, or 322) recognizing a surrounding status of a vehicle; a control unit (200 or 300) executing driving support for the vehicle by controlling one or both of steering and acceleration/deceleration of the vehicle on the basis of the surrounding status recognized by the recognition unit; a reception unit (40 or 80) receiving an instruction relating to the driving support from a vehicle occupant of the vehicle; and an inhibition unit (130) inhibiting inactivation or reduction in functionality of the driving support using the control unit in a case in which a surrounding status of the vehicle is a predetermined surrounding status, or the predetermined surrounding status in the future is predicted in a case in which an instruction for inactivation or reduction in functionality of the driving support is received by the reception unit.

Abstract: There is provided a vehicle control system including a driving assistance controller configured to execute driving assistance of a vehicle at a plurality of different degrees, an information output configured to output information, and an output controller configured to control the information output so that information indicating a target to be monitored or operated by an occupant required for the occupant is output on the basis of a change in a degree of driving assistance of the driving assistance controller.

Abstract: The present application provides a method for updating a map and a mobile robot. The method comprises: acquiring a current map and a corresponding current location data set constructed when a first movement device performs a navigation and movement operation in a physical space, wherein the first movement device performs the navigation and movement operation based on a reference map and a corresponding reference location data set which are corresponding to the physical space and stored in advance; performing a data fusion process on the reference map and the corresponding reference location data set as well as the current map and the corresponding current location data set; taking a map and a corresponding location data set after being data fusion processed as a new reference map and a corresponding new reference location data set in the first movement device. The present application provides a solution for persistence of a map.

Abstract: In the present invention, an integrated control unit simultaneously causes a long-term route generation unit, an intermediate-term route generation unit, and a short-term route generation unit to begin generating routes when an automatic driving mode is set to an on state by an automatic driving on setting unit, and a vehicle is instantly subjected to automatic driving control using a short-term route prior to the generation of a long-term route. As a result, the present invention provides a vehicle control device that can immediately perform automatic driving control based on a short-term route after the automatic driving mode of the vehicle is set to the on state and, after generating a long-term route in which riding comfort improves a stepwise manner, perform automatic driving control in which the long-term route and an intermediate-term route are taken into account.

Abstract: A working machine includes a braking assembly and a throttle assembly. A controller is operatively connected to the braking assembly and the throttle assembly. A proximity sensor is operatively connected to the controller and is adapted to emit radiation away from the rear of the working machine, and to receive reflected radiation indicating the presence of a person or object within a danger zone adjacent to the rear of the working machine and within a warning zone that extends beyond the danger zone. The proximity sensor is adapted to send a signal to the controller when it detects a person or object in the danger zone to cause the braking assembly to brake the working machine, and to send a signal to the controller when it detects a person or object in the warning zone to cause the throttle assembly to reduce the speed of the working machine.

Abstract: A vehicle automated driving system 100 comprises a surrounding environment information acquiring device 10, a vehicle information acquiring device 20, a driver information acquiring device 30, a package selecting part 90, a package proposing part 91, an automated driving executing part 92, and a rejection count detecting part 93. The package selecting part determines the driving assistance package based on at least one of the surrounding environment information, the vehicle information, and the driver information, selects the determined driving assistance package if the rejection count of the determined driving assistance package is less than a predetermined threshold value, and selects a driving assistance package different from the determined driving assistance package if the rejection count of the determined driving assistance package is the threshold value or more.

Abstract: The invention relates to a vehicle (100) with autonomous driving capability, wherein the autonomous vehicle (100) is adapted for at least two different driving modes comprising a first driving mode configured for a first type of autonomous driving and a second driving mode configured for the autonomous vehicle being guided by a pilot vehicle (200) in such a manner that the autonomous vehicle follows the pilot vehicle.

Abstract: Provided is a vehicle stop support system for supporting vehicle stop in an emergency condition. The vehicle stop support system sets an allowable lateral acceleration, based on a physical abnormality of a driver; detects a plurality of stop point candidates in a traveling direction of a vehicle; estimates a lateral acceleration to be generated during traveling of the vehicle to each of the candidates; estimates a rear-end collision risk that the vehicle will be rear-ended by a following vehicle; sets a stop point; and controls the vehicle to travel to the stop point and stop at the stop point. The system is operable to set, as the stop point, one of the candidates which satisfies a condition that the lateral acceleration estimated with respect thereto is equal to or less than the allowable lateral acceleration and which is lowest in terms of the rear-end collision risk.

Abstract: Methods and systems for determining an optimal routing policy for an autonomous vehicle are described. A set of states that represent portions of lanes are determined. A set of costs for a set of actions is associated with each state. The set of actions includes a stay in lane action, a lane change action, and a forced lane change action. A lane change action has a non-deterministic outcome with a probability based on the length of the state. A cost for a stay in lane action is greater or equal than a length of the state and a cost of a forced lane change action is the reciprocal of a success rate of lane changes. An optimal routing policy is determined for the autonomous vehicle according to a shortest path first (SPF) algorithm run on the set of states based on the set of costs and the set of actions.

Abstract: A system for providing autonomous lawn care services. The system includes a number of autonomous outdoor power devices, and one or more service vehicles. The one or more service vehicles are configured to selectively load and unload one or more of the autonomous outdoor power devices at a jobsite based on instructions received by a controller of the one or more service vehicles.

Abstract: A mover control system according to an embodiment includes a controller, a node generator, and a path generator. The controller controls a mover traveling within a predetermined area. The node generator generates a pair of specified nodes at respective arbitrary locations on a map corresponding to the predetermined area. The pair of specified nodes are nodes where the mover is controllable. The path generator generates a path between the pair of specified nodes. The controller makes the mover travel along a traveling route corresponding to the path within the predetermined area.

Abstract: A vehicle control system includes a nearby information acquirer that acquires nearby information of an own vehicle, an automated driving controller that automatically selects and executes a first automated driving mode in which lane change is at least partially automatically performed and a second automated driving mode in which lane change is not automatically performed on the basis of the nearby information of the own vehicle acquired by the nearby information acquirer, and a notification controller that causes an output unit to output information prompting switching to manual driving at a position before a branch point when a condition is satisfied, the condition including that during execution of the second automated driving mode there is a branch point for entering a branch road from a main line when the own vehicle is traveling along a predetermined route.

Abstract: A vehicle management system includes a vehicle controller mountable in a vehicle, and a commercial facility management system for managing a parking lot and payment in a commercial facility. The commercial facility management system includes a system controller. The system controller performs processing for associating the vehicle with a user of the vehicle when the vehicle enters the parking lot, and cooperates with the vehicle controller of the vehicle associated with the user to control the vehicle to travel from a parking place to a pick-up/drop-off place for the user when the user finishes payment.

Abstract: A method for controlling a sunshade of an autonomous vehicle is presented. The method includes determining that current conditions satisfy an activation condition. The method also includes predicting whether a driver will enable a manual mode during the current conditions. The method further includes activating a first sunshade in response to the satisfied activation condition regardless of whether the driver will enable the manual mode. The method still further includes activating a second sunshade in response to the satisfied activation condition when the driver will not enable the manual mode.

Abstract: An apparatus for controlling driving of a vehicle includes a communicator that receives autonomous driving data of another vehicle, a sensor that obtains surrounding environment information and manual driving data of a subject vehicle, and a controller that obtains autonomous driving data of the subject vehicle based on the surrounding environment information and determines whether to switch to autonomous driving of the subject vehicle based on the autonomous driving data and manual driving data of the subject vehicle and the autonomous driving data of the another vehicle.

Abstract: Techniques are discussed for controlling a vehicle, such as an autonomous vehicle, based on predicted occluded areas in an environment. An occluded area can represent areas where sensors of the vehicle are unable to sense portions of the environment due to obstruction by another object. A first occluded region for an object is determined at a first time based on a location of the object. A predicted location for the object can be used to determine a predicted occluded region caused by the object at a second time after the first time. Predicted occluded regions can be determined for multiple trajectories for the vehicle to follow and/or at multiple points along such trajectories, and a trajectory can be selected based on associated occlusion scores and/or trajectory scores associated therewith. The vehicle can be controlled to traverse the environment based on the selected trajectory.

Abstract: A vehicle control system includes an automated driving control unit that executes automated driving for autonomously controlling at least one of steering or acceleration and deceleration of a vehicle, an occupant state determination unit that determines a state of an occupant of the vehicle, and a learning unit that learns automated driving control executed by the automated driving control unit so that the state of the occupant determined by the occupant state determination unit approaches a predetermined state on the basis of a combination of a behavior of the vehicle occurring with the automated driving control or a notification to the vehicle occupant of information relating to the automated driving control and the state of the occupant determined by the occupant state determination unit after the behavior of the vehicle or the information notification to the vehicle occupant.

Abstract: Provided is a vehicle control device capable of efficiently performing vehicle control for safe driving assistance. A vehicle control device (ECU) (10) mounted in a vehicle is configured to: detect a stopped vehicle (3) located forward of the vehicle (1) in a traveling lane of the vehicle (1); set a speed distribution area (40) which defines a distribution of an allowable upper limit value of a relative speed of the vehicle (1) with respect to the stopped vehicle (3); detect a traveling state of a vehicle traveling in an adjacent lane of the vehicle (1); and, based on the traveling state of the vehicle in the adjacent lane and the speed distribution area (40) with respect to the stopped vehicle (3), execute an avoidance control of avoiding a collision with the stopped vehicle (3).

Abstract: The present invention provides an autonomous vehicle, comprising: a housing; a driving module, mounted on the housing; a limit detecting module, mounted on the housing and detecting a distance between the autonomous vehicle and a limit; an energy module, mounted on the housing and providing energy for the autonomous vehicle; a control module, electrically connected to the driving module and the limit detecting module, the control module enables to the driving module to execute steering according to a signal representing an angle relationship between the autonomous vehicle and the limit and sent by the limit detecting module, such that an acute angle or right angle is always formed between the central axis of the autonomous vehicle and one lateral side of the limit when the steering is finished, and an acute angle or right angle is formed between the central axis of the autonomous vehicle and another lateral side of the limit when the steering begins; and if judging that the driving of the autonomous vehicle m

Abstract: A vehicle dispatch system includes: a plurality of vehicles each configured to perform automated driving and each including a wireless LAN module; and a server configured to communicate with the plurality of vehicles. The wireless LAN module is configured to connect to a user's portable terminal and an access point of a wireless LAN communication network, and is configured to relay wireless communication between the portable terminal and the wireless LAN communication network. The server is configured to output, to a vehicle of the plurality of vehicles, an instruction for dispatching the vehicle by automated driving, in accordance with a vehicle dispatch request from the portable terminal. The vehicle, in response to the instruction, is configured to relay wireless communication between the portable terminal and the wireless LAN communication network by using the wireless LAN module.

Abstract: A vehicle dispatch management system includes a vehicle dispatch management server and an autonomous vehicle managed thereby. The system dispatches a vehicle to a user based on a vehicle dispatch request to the vehicle dispatch management server from the user. The autonomous vehicle includes a network interface that communicates with the dispatch management server. The vehicle performs a first authentication by comparing first reference information and first authentication information, and determining, based on the first comparison, whether the user passes a first authentication. The vehicle dispatch management server includes a further network interface that carries out communication with the autonomous vehicle.

Abstract: Disclosed is a vehicle control system (ECU 10) provided in a vehicle (1) is configured be operable to: detect a preceding vehicle (3) ahead of the vehicle (1), and set, in at least a part of a region around the preceding vehicle (3), a speed distribution zone (40, 50) defining a distribution zone of an allowable upper limit (Vlim) of a relative speed of the vehicle (1) with respect to the preceding vehicle (3) in a traveling direction of the vehicle (1); and, when the vehicle (1) is within the speed distribution zone (40, 50), to execute traveling control of preventing the relative speed of the vehicle (1) with respect to the preceding vehicle (3) from exceeding the allowable upper limit Vlim, wherein, when the preceding vehicle (3) is located on a curved road (5), the speed distribution zone (50) is set such that, in a lateral region of the speed distribution zone, a constant relative speed line (d, e, f) connecting plural points each having a same value of the allowable upper limit (Vlim) is curved in confo

Abstract: A platoon travel system includes an extraction portion, an arrangement order determination portion, a schedule notification portion, a contribution degree calculation portion, and a charge portion. The contribution degree calculation portion calculates a contribution degree for each of the plurality of target vehicles using loss-gain information. The contribution degree is calculated with respect to a benefit of all of the plurality of target vehicles obtained by performing the platoon travel. The loss-gain information reflects the benefit obtained when the plurality of target vehicles participate in the platoon travel. The charge portion determines a charge amount for each of the plurality of target vehicles based on the contribution degree calculated by the contribution degree calculation portion when the platoon travel is performed based on the platoon information. The charge amount is determined for each of the plurality of target vehicles to fairly obtain an advantage.

Abstract: A hygiene monitoring and management system including a monitoring module and a display. The management module with an input and that receives data via the input. The received data includes one or more locations of a device in a facility, and the management module further includes one or both of software and hardware configured to generate data representative of cleaning behavior associated with the device based on the received data. The cleaning behavior includes timing and movement of the device in the facility, and a cleanliness level of at least one area in the facility.

Abstract: Methods and systems for enhancing the functionality of a semi-autonomous vehicle are described herein. The semi-autonomous vehicle may receive a communication from a fully autonomous vehicle within a threshold distance of the semi-autonomous vehicle. If the vehicles are travelling on the same route or the same portion of a route, the semi-autonomous vehicle may navigate to a location behind the fully autonomous vehicle. Then the semi-autonomous vehicle may operate autonomously by replicating one or more functions performed by the fully autonomous vehicle. The functions and/or maneuvers performed by the fully autonomous vehicle may be detected via sensors in the semi-autonomous vehicle and/or may be identified by communicating with the fully autonomous vehicle to receive indications of upcoming maneuvers. In this manner, the semi-autonomous vehicle may act as a fully autonomous vehicle.

Abstract: A missing area specification unit (23) specifies, in a coverage area assigned to a sensor in charge to detect a position, a missing area that is not detected by assigned data being sensor data acquired by the sensor in charge. An interpolation data extraction unit (24) extracts sensor data whereby the missing area is detected, the sensor data being acquired by a sensor other than the sensor in charge, as interpolation data. A detection data generation unit (26) generates detection data of the coverage area by integrating the assigned data and the interpolation data.

Abstract: A method, an apparatus, a computer device and a storage medium for autonomous driving determination are proposed. The method includes: obtaining information about a driving scenario of an autonomous vehicle when a preset trigger condition is met; comparing the information about the driving scenario with an autonomous driving capability of the autonomous vehicle; determining, according to a comparison result, whether the autonomous vehicle is adapted to employ an autonomous driving mode in the driving scenario. The technical solution of the present disclosure may be applied to improve the safety of the vehicle and the user.

Abstract: Methods, systems, and apparatus for a confidence enhancement system. The confidence enhancement system includes a navigation unit configured to obtain navigational map information including a current location of the vehicle. The confidence enhancement system includes a sensor configured to obtain sensor data. The confidence enhancement system includes an electronic control unit. The electronic control unit is coupled to the navigation unit and the sensor. The electronic control unit is configured to determine a confidence score. The confidence score is related to safe operation of the autonomous driving of the vehicle based on the current location of the vehicle and the sensor data. The electronic control unit is configured to determine that the confidence score exceeds a confidence threshold and indicate that autonomous driving is safe at the current location.

Abstract: An occupant protection device includes: a collision prediction unit configured to predict a collision state including a collision direction in a vehicle; a seat direction detection unit configured to detect a direction of a seat that is rotatable around a vertical axis of the vehicle with respect to the vehicle; a driving unit configured to adjust a degree of tension of a seatbelt; and a control unit configured to control the driving unit in accordance with the collision direction with respect to the vehicle predicted by the collision prediction unit and the direction of the seat with respect to the vehicle detected by the seat direction detection unit to change the degree of tension of the seatbelt.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for operating an autonomous or semi-autonomous vehicle may be provided. With a vehicle owner's permission, a vehicle operator identity may be determined; and operating data regarding the autonomous or semi-autonomous vehicle may be received from one or more vehicle-mounted sensors. Based upon the received operating data, (i) autonomous operation risk levels associated with autonomous vehicle operation; and (ii) operator risk levels associated with autonomous vehicle operation by the vehicle operator may be determined. Based upon a comparison of the autonomous operation versus vehicle operator risk levels, the autonomous features may be engaged if it is safer for the vehicle to travel autonomously.

Abstract: Embodiments of the disclosure provide a camera system and a sensing method using such a camera system. The camera system includes a plurality of distributed cameras, collectively keeping a predetermined image space relative to the camera system in focus. The plurality of cameras are configured to capture image data of at least one object located in the predetermined image space. The camera system further includes a controller configured to determine position information of the at least one object relative to the camera system based on the image data.

Abstract: A method for localization and mapping, including recording an image at a camera mounted to a vehicle, the vehicle associated with a global system location; identifying a landmark depicted in the image with a landmark identification module of a computing system associated with the vehicle, the identified landmark having a landmark geographic location and a known parameter; extracting a set of landmark parameters from the image with a feature extraction module of the computing system; determining, at the computing system, a relative position between the vehicle and the landmark geographic location based on a comparison between the extracted set of landmark parameters and the known parameter; and updating, at the computing system, the global system location based on the relative position.

Abstract: A vehicle driving assist system includes a steering wheel contact position detector, a steering torque detector, a driving mode setting calculator, and a steering override determiner. The driving mode setting calculator is configured to set a driving mode including a first driving assist mode, a second driving assist mode, and a manual driving mode. The driving mode setting calculator is configured, while traveling in a current driving mode that is the first driving assist mode or the second driving assist mode, to allow the current driving mode to continue in a case where the steering override determiner has determined that a steering torque detected by the steering torque detector is a false detection or to cause the driving mode to make a transition to the manual driving mode in a case where the steering override determiner has determined that the steering torque is a steering override intended by a driver.

Abstract: A moving robot includes: a body defining an exterior; a traveling unit configured to move the body against a travel surface; an operation unit disposed in the body and configured to perform a predetermined operation; a tilt information acquisition sensor configured to acquire tilt information on a tilt of the travel surface; and a controller configured to, when target movement direction being preset irrespective of an inclination of the travel surface crosses an upward inclination direction of the travel surface, control a heading direction, which is a direction of a traveling force (Fh) preset to be applied by the traveling unit to the body, to be a direction between the target movement direction and the upward inclination direction based on the tilt information.

Abstract: The present disclosure relates to a vehicle and a method of controlling the same, for keeping safe autonomous travel by calculating and using an estimated location on the basis of another vehicle information in case of occurrence of an error in estimating the location of a vehicle due to a sensor fault during autonomous driving. The method includes steps of: obtaining internal location data from an inside source of the vehicle and calculating an internal absolute location of the vehicle based on the internal location data for determining a location of the vehicle; obtaining external location data from an outside source of the vehicle and calculating an external absolute location of the vehicle based on the external location data for determining a location of the vehicle; and selecting at least one of the internal absolute location and the external absolute location as a current location of the vehicle.

Abstract: If an external environment recognition unit recognizes a particular section adjacent to a first travel path, a trajectory generation unit generates a first travel trajectory that causes the own vehicle to enter the first travel path after a travel along the first travel path inside the particular section, and if the external environment recognition unit does not recognize the particular section, the trajectory generation unit generates a second travel trajectory that causes the own vehicle to directly enter the first travel path from outside the first travel path.

Abstract: Systems and methods for obtaining a location of an appliance are provided. In particular, the systems and methods include features for automatically obtaining a location of an appliance, e.g., for registration purposes. In one example aspect, a system includes an appliance that includes features for providing a local appliance network, a user device for connecting to the local appliance network, and a remote computing device communicatively coupled with the user device. To obtain the location of the appliance, the user device first connects with the local appliance network. The user device then obtains data indicative of the geographic location of the user device while connected to the appliance network and routes the data to the remote computing device. As the range of the local appliance network is limited, the location of the user device while connected to the local appliance network is assumed as the geographic location of the appliance.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain information describing a static map of a geographic location, wherein the static map is determined based at least in part on a plurality of three-dimensional representations of the geographic location captured by one or more sensors of one or more vehicles. At least one training example that includes visual features and a corresponding label can be generated based on an unsupervised process for generating training examples, wherein the visual features are extracted based on the static map and at least one three-dimensional representation of the geographic location. At least one machine learning model can be trained to distinguish between static objects and non-static objects in visual data based on the at least one training example, wherein the at least one machine learning model is trained based on an unsupervised learning process.

Abstract: In some embodiments, a method for an autonomous vehicle obtaining services can include: detecting, by the autonomous vehicle, a need for service; sending, over a network interface of the autonomous vehicle, a request for service; determining a rendezvous location at which service will be received; maneuvering, by the autonomous vehicle, to the rendezvous location; receiving, by the autonomous vehicle over a network, an authentication code; in response to receiving the authentication code, enabling, by the autonomous vehicle, access to components of the autonomous vehicle; determining, by the autonomous vehicle, that the service is complete; and transmitting, by the autonomous vehicle, an indication that the service is complete.

Abstract: A vehicle braking system includes a wheel cylinder, a master cylinder including a master cylinder piston operable to translate between an unactuated position and an actuated position in a first mode of operation, a brake pedal operable to transition between an extended position corresponding to the unactuated position of the master cylinder and a retracted position corresponding to the actuated position of the master cylinder, and a booster located between the master cylinder and the brake pedal. The master cylinder is operable to selectively transfer a braking force from the brake pedal to the wheel cylinder in the first mode of operation. The booster is operable to hold the brake pedal in the retracted position in a second mode of operation without user input and without associated braking.