Abstract: The use of multiple horizon optimization for vehicle dynamics and powertrain control of a vehicle is provided. Long horizon optimization for a trip of the vehicle is performed, and an optimal value function is determined. Data is received from powertrain and/or connectivity features from one or more of components of the vehicle. Short horizon optimization for the trip is performed using a rollout algorithm, the optimal value function, and the received data. The operation of the vehicle is adjusted using results of the short horizon optimization.

Abstract: An information processing method is to be executed by a computer. The information processing method includes: receiving, from an autonomous moving body, a first processing result that is a result of first preprocessing of travel control processing in autonomous movement processing of the autonomous moving body, and sensing data received by the autonomous moving body; executing second preprocessing based on the sensing data to receive a second processing result, the second preprocessing being more advanced than the first preprocessing; determining a difference between the first processing result and the second processing result; and outputting, to the autonomous moving body based on the difference determined, a change request to change the first processing result to the third processing result, the third processing result being received based on at least one of the first processing result or the second processing result.

Abstract: A reconnaissance UAV and a surveillance flight method of the reconnaissance UAV which can reduce a number of required reconnaissance UAVs are provided. The surveillance flight method for detecting an unauthorized UAV includes: defining multiple flight passages in a UAV no-fly zone for a plurality of reconnaissance UAVs; controlling each of the plurality of reconnaissance UAVs to fly across adjacent flight passages at an interval by crossing a border of the adjacent flight passages; and controlling at least one of an image sensor and a noise sensor mounted on the reconnaissance UAV to dynamically change a direction detection thereof.

Abstract: A system and method are arranged to provide recommendations to a user of a vehicle. In one aspect, the vehicle navigates in an autonomous mode and the sensors provide information that is based on the location of the vehicle and output from sensors directed to the environment surrounding the vehicle. In further aspects, both current and previous sensor data is used to make the recommendations, as well as data based on the sensors of other vehicles.

Abstract: Systems and methods for improved control of nonholonomic robotic systems are disclosed herein. According to at least one non-limiting exemplary embodiment, a holonomic reference point on or nearby a nonholonomic robot may be determined and utilized to navigate the robot along a target trajectory. Due to the holonomicity of the reference point, control logic of the robotic system may be greatly simplified, thereby enhancing accuracy of navigation and navigation capabilities of nonholonomic robotic systems.

Abstract: A control system of a mobile object that can move in any one operation mode determined from a plurality of operation modes is provided. The control system includes: a storage device configured to store instructions; and one or more processors, wherein the one or more processors execute the instructions stored in the storage device to: generate evaluation information for a trajectory of the mobile object including a trajectory on a sidewalk; each of the plurality of operation modes being associated with an acceptance level for an event that may occur when the mobile object moves along a trajectory; and generate the evaluation information for the trajectory based on the acceptance level in the operation mode associated with an event that occurs when moving along the trajectory.

Abstract: A system, method, and computer program for updating calibration lookup tables within an autonomous vehicle or transmitting roadway marking changes between online and offline mapping files is disclosed. A LIDAR sensor may be used for generating an online (rasterized) mapping file with online intensity values which are compared against a correlated offline (rasterized) mapping file having offline intensity values. The online intensity value may be used to acquire a lookup table having a normal distribution that is compared against the offline intensity value. The lookup table may be updated when the offline intensity value is within the normal distribution. Or the vehicle may transmit a roadway marking change when the offline intensity value is outside the normal distribution.

Abstract: A UAV having a GPS spoofing detector allowing the UAV to determine during flight if the GPS is being spoofed by a third party. The UAV includes a 3-axis magnetometer that is utilized by a controller to determine if the GPS data is correct, or if it is incorrect and perhaps being spoofed. The controller compares GPS heading data with heading data provided by the 3-axis magnetometer. The controller generates an alert if heading are not correlated. This allows the controller to respond to the spoofing detection, such as by directing the UAV to return home.

Abstract: A control apparatus of an autonomously navigating work machine driven by drive units while servicing a work area which is equipped with an information acquisition unit that acquires information relating to a navigation-desired region where navigation is desired inside or outside of the work area, a search unit that searches for a navigation route from a current location of the work machine to a desired location based on acquired information relating to the navigation-desired region, and a control unit that drives the work machine to run by driving the drive units in accordance with the navigation route searched by the search unit.

Abstract: In a vehicle measuring device unit, a data processing device includes a plurality of input parts each connected to a different one of the plurality of detectors, an output part connected to a control device provided in a vehicle, and an integrated data generation part that generates integrated data using detection data input from the plurality of detectors via the plurality of input parts and outputs the generated integrated data via the output part. The number of wires connecting the control device with the integrated data generation part is smaller than the number of wires connecting the integrated data generation part with the plurality of detectors.

Abstract: An autonomously traveling vehicle includes a main body, a storage, an autonomous travel plan generator and a traveling controller. The main body includes a traveling carriage. The storage stores partial traveling route data generated for subareas including an individual coordinate system, and route connection data connecting the partial traveling routes. The autonomous travel plan generator generates an autonomous traveling schedule for autonomous travel by associating the selected partial traveling route data and the selected route connection data that connects the partial traveling routes. The traveling controller controls the traveling carriage in accordance with the autonomous traveling schedule to move the main body.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for determining guidance information for a vehicle. For instance, the method may include: determining whether the vehicle requires a charging event at least based on a state of charge of a battery system of the vehicle; determining a charging location of a charging station from a plurality of charging stations based on data associated with the vehicle and/or data associated with each of the plurality of charging stations; determining a current location of the vehicle; determining information to guide the vehicle from the current location to the determined charging location and align a charging interface of the vehicle to a charging interface of the charging location; and causing display of the determined information.

Abstract: provided is an information processing device comprising: a map database in which a control parameter for controlling the behavior of the vehicle is recorded for each vehicle type at each point on a road; a data reading unit that acquires vehicle information including at least vehicle type information and positional information of the vehicle and reads the control parameter corresponding to the travel point of the vehicle from the map database based on the vehicle information; a parameter setting unit that sets an application control parameter to be applied to control of the vehicle based on the control parameter read by the data reading unit; and a data update unit that acquires an observation value related to the behavior of the vehicle controlled based on the application control parameter from the vehicle and updates the map database based on the observation value.

Abstract: An information presentation method that is executed by a computer includes acquiring travelling path information that includes a cleaning path and a relocation path, the cleaning path showing positions cleaned by a self-propelled vacuum cleaner in each of a plurality of regions included in a specific area, and the relocation path showing a route of the self-propelled vacuum cleaner that has travelled from one region to another region different from the one region out of the regions, the route being included in the specific area; generating presentation information that includes the cleaning path and the relocation path and that changes the mode of display of at least one of the cleaning path or the relocation path when a specific condition is satisfied; and presenting the presentation information to the user as the travelling path of the self-propelled vacuum cleaner in the specific area.

Abstract: In a vehicle collision determination apparatus, a position calculation unit calculates a trajectory of a target that is a movement trajectory of the target, and calculates an entrainment trajectory of the vehicle that is a movement trajectory of the vehicle during a turn, and calculate a position of collision where a collision is likely to occur between the vehicle and the target based on the trajectory of the target and the entrainment trajectory of the vehicle. A time calculation unit calculates a time to collision (TTC) that is a time it takes for the target to reach the position of collision. In response to the time to collision being equal to or less than a predefined determination threshold, a risk determination unit determines that there is a risk of collision between the vehicle and the target.

Abstract: The invention relates to a machine (1) for handling loads (24), comprising: —a wheeled chassis (2), —a drive system (3) for moving the wheeled chassis (2), —a load handling system (4) carried by the chassis (2), —a control unit (5), a device (6) for controlling the load handling system (4) that can be manually actuated by an operator, the control unit (5) being configured to receive control signals from said control device (6), a member (7) for activating the manually actuatable control device (6). The handling machine (1) comprises a sensor (8) of a parameter representative of a movement of the machine (1), and the control unit (5) is configured to allow the control of the handling system (4) with the control device (6) as a function of at least the parameter representative of a movement of the machine (1).

Abstract: Among other things, techniques are described for controlling, using a control circuit, motion of a vehicle based objects identified using LiDAR. For example, respective classes of points of a point cloud are determined, and based on the determined respective classes of the points of the point cloud, objects in the vicinity of the vehicle are identified.

Abstract: The present disclosure provides a general purpose operating system (GPROS) that shows particular usefulness in the robotics and automation fields. The operating system provides individual services and the combination and interconnections of such services using built-in service extensions, built-in completely configurable generic services, and ways to plug in additional service extensions to yield a comprehensive and cohesive framework for developing, configuring, assembling, constructing, deploying, and managing robotics and/or automation applications. The disclosure includes GPROS extensions and features directed to use as an autonomous vehicle operating system. The vehicle controlled by appropriate versions of the GPROS can include unmanned ground vehicle (UGV) applications such as a driverless or self-driving car. The vehicle can likewise or instead include an unmanned aerial vehicle (UAV) such as a helicopter or drone.

Abstract: Systems and method are provided for defining map data used in controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, telemetry data; determining, by the processor, distribution data of a path based on the telemetry data; determining, by the processor, a plurality of sample data based on a trained machine learning model and the distribution data; generating, by the processor, at least one of lane line data and road edge data based on the sample data and a second machine learning model; and storing, by the processor, the map data including the lane line data and road edge data for use in controlling the vehicle.

Abstract: A parking assistance method according to the present disclosure is a method of performing autonomous travel of a vehicle based on a travel route generated using teaching travel by a driver. The parking assistance method including: acquiring as absolute position and an azimuth is the a travel direction of the vehicle; and determining, based on the absolute position and the azimuth in the travel direction, whether or not the vehicle is located oriented with a prescribed azimuth in a prescribed position, which are registered in association with the travel route.

Abstract: A moving track prediction method includes obtaining an initial state, of a moving target that includes an initial location and an initial motion state, generating one or more destination states of the moving target based on the initial state of the moving target and preset path information, and predicting a moving track of the moving target based on the initial state of the moving target and the one or more destination states to obtain one or more predicted moving tracks.

Abstract: The embodiment of the present disclosure provides a method for setting time of traffic lights in a smart city and an Internet of Things system. The method is implemented by an Internet of Things system for setting time of traffic lights in a smart city, which includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform. The method includes: obtaining pedestrian information and intersection information of a target intersection, and the target intersection being an intersection provided with the traffic lights; determining, based on the pedestrian information and the intersection information, the scheme for setting time of the traffic lights at the target intersection; and sending a control instruction corresponding to the scheme for setting the time to the object platform, and in response to the received control instruction, controlling lighting duration of the traffic lights by the object platform.

Abstract: An apparatus includes processing circuitry configured to determine an actual driving performance of a driver in a manual driving mode and a projected driving performance if the vehicle had been operated in an autonomous driving mode, compare the driving performance in the manual driving mode and the autonomous driving mode, and transmit a feedback to the driver based on the comparison. The processing circuitry can be further configured to determine a driver state of the driver in the manual driving mode, determine environmental driving condition of the vehicle, and establish a baseline behavior of the driver as a function of the driver state and the environmental driving condition.

Abstract: An apparatus for forward collision avoidance assist-junction turning of a vehicle includes a sensor for acquiring at least one of a steering angle, a steering angle speed, or a yaw rate of a vehicle, or a size, a position, or a speed of an opposite target. A traveling path area for a left-turn or a right-turn is calculated by a controller based on the steering angle or the yaw rate of the vehicle. The traveling path area is then corrected by the controller based on at least a portion of the steering angle, the steering angle speed, or the yaw rate of the vehicle, or the size, the position, and the speed of the opposite target. A warning against the collision between the vehicle and the opposite target and a control operation to prevent the collision are performed based on the corrected traveling path area.

Abstract: The present disclosure provides a driving data processing method, an apparatus, a device, an automatic driving vehicle, a medium and a product, including: collecting first driving data generated by using a target structure in a driving system of a target vehicle, where the first driving data uses a binary number system; determining a target descriptor corresponding to the target structure, where the target descriptor is used to describe member information of the target structure; parsing the target descriptor to obtain at least one piece of member information of the target structure; parsing the first driving data according to the at least one piece of the member information to obtain target data corresponding to each of the at least one piece of the member information; and performing a data processing operation based on the target data corresponding to each of the at least one piece of the member information.

Abstract: When an autonomous driving vehicle picks a user up, a control device performs departure condition confirmation processing.

Abstract: Heuristic evaluation systems and methods for spatial information deliverability for electric vehicle (EV) owners who are traveling and looking for charging location suggestions via their navigation systems, mobile applications, and/or the like. Suggestions are captured based on prior knowledge and user desires. In general, the system knows that a user is traveling from point A to point B and has a suggested optimal distance and/or time and/or cost to reach point B. The systems gathers information related to the traveler's desires in relation to lesser known dimensions, to enhance the overall quality of the travel and charging experience.

Abstract: Systems and methods for optimizing robotic route planning are disclosed in relation to autonomous navigation of sharp turns, narrow passageways, and/or a sharp turn into a narrow passageway. Robots navigating a route comprising any of the above run the risk of colliding with environment obstacles when executing these maneuvers. Accordingly, systems and methods for improving robotic route planning are necessary within the art and are disclosed herein.

Abstract: Systems and methods for dynamic predictive control of autonomous vehicles are disclosed. In one aspect, an in-vehicle control system for a semi-truck includes one or more control mechanisms configured to control movement of the semi-truck and a processor. The system further includes computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive a desired trajectory and a vehicle status of the semi-truck, determine a dynamic model of the semi-truck based on the desired trajectory and the vehicle status, determine at least one quadratic program (QP) problem based on the dynamic model, generate at least one control command for controlling the semi-truck by solving the at least one QP problem, and provide the at least one control command to the one or more control mechanisms.

Abstract: Systems and methods for randomized autonomous robot security applications may include a security system that generate a patrol area of a facility and select a random waypoint from a plurality of waypoints in the patrol area for an autonomous mobile machine to surveillance. The security system may also select a surveillance task to be performed by the autonomous mobile machine at the random waypoint, and transmit, to the autonomous mobile machine, instructions to visit the random waypoint and perform the surveillance task. When the security system receives, from the autonomous mobile machine, an indication that the autonomous mobile machine has completed the surveillance task at the random waypoint, the security system may transmit a subsequent random waypoint of the plurality of waypoints of the patrol area along with a subsequent surveillance task to be performed at the subsequent random waypoint.

Abstract: The present invention relates to a road crossing method for a mobile robot. The road crossing method comprises the mobile robot approaching a road crossing. Further, the road crossing method comprises estimating, with a data processing unit, a location and time of collision with at least one dynamic object on the road crossing. Further still, the road crossing method comprises generating, with the data processing unit, control commands for the mobile robot to avoid collision with the at least one dynamic object based on the estimated location and time of collision with the at least one dynamic object. In addition, the present invention relates to a mobile robot comprising the data processing unit and configured to carry out the road crossing method.

Abstract: Existing cognitive robotic applications follow a practice of building specific applications for specific use cases. However, the knowledge of the world and the semantics are common for a robot for multiple tasks. In this disclosure, to enable usage of knowledge across multiple scenarios, a method and system for ontology guided indoor scene understanding for cognitive robotic tasks is described where in scenes are processed based on techniques filtered based on querying ontology with relevant objects in perceived scene to generate a semantically rich scene graph. Herein, an initially manually created ontology is updated and refined in online fashion using external knowledge-base, human robot interaction and perceived information. This knowledge helps in semantic navigation, aids in speech, and text based human robot interactions.

Abstract: An assistance system/method for cooperative maneuver planning is taught, wherein in each vehicle, a planned trajectory and a desired trajectory are selected depending on a cost function; wherein a most economical first trajectory is generated which is free of collisions with planned and desired trajectories of other vehicles, and i) wherein a most economical second trajectory is generated which ignores planned and desired trajectories of other vehicles and is transmitted as a desired trajectory only if a cost difference between the first and the second trajectory is greater than a minimum cost reduction value, wherein additionally/alternatively to i), a most economical third trajectory is generated which is free of collisions with planned trajectories of other vehicles but ignores their desired trajectories, wherein a desired trajectory of another vehicle is accepted if a cost difference between the first and the third trajectory is less than a maximum cost increase value.

Abstract: A method for data communication between a first node and a second node includes forming one or more redundancy messages from data messages at the first node using an error correcting code and transmitting first messages from the first node to the second node over a data path, the transmitted first messages including the data messages and the one or more redundancy messages. Second messages are received at the first node from the second node, which are indicative of: (i) a rate of arrival at the second node of the first messages, and (ii) successful and unsuccessful delivery of the first messages. A transmission rate limit and a window size are maintained according to the received second messages. Transmission of additional messages from the first node to the second node is limited according to the maintained transmission rate limit and window size.

Abstract: Processors obtain instances of service event data and generate a plurality of territory sets. The processors determine a plurality of respective servicing values based at least in part on the instances of service event data. A respective servicing value is determined for each territory set of the plurality of territory sets. A respective servicing value for a respective territory set is determined based at least in part on at least one path that links the respective service locations located within a particular territory of the territory set on a particular service date. Based on the plurality of respective servicing values, a preferred territory set is identified from the plurality of territory sets. Responsive to determining that the preferred territory set satisfies one or more provision criteria, the processors cause information corresponding to the preferred territory set to be provided.

Abstract: The invention relates to a method for controlling an inspection flight of an unmanned aerial vehicle for purposes of inspecting an object, and to an inspection unmanned aerial vehicle. The method comprises the following: recording of image data for an object by means of a camera device on an unmanned aerial vehicle during a first flight path in a flight coordinates system in the vicinity of the object; and recording of depth data by means of a depth sensor device on the unmanned aerial vehicle, wherein the depth data indicate distances between the unmanned aerial vehicle and the object during the first flight path. Flight trajectory coordinates for the unmanned aerial vehicle are determined for purposes of inspecting the object, which avoids collision with the object.

Abstract: The sensing system S extracts a target area to be subjected to short-distance sensing by the UGV 2 on the basis of the long-distance sensing data obtained by the UAV 1 in the air performing long-distance sensing on a lower place, perform movement control for moving the UGV 2 toward the target area. And then, the sensing system S acquires short-distance sensing data obtained by performing short-distance sensing on the whole or a part of the target area by the UGV 2 that has moved according to the movement control.

Abstract: The present teachings generally provide for an overrunable test vehicle for dynamic vehicle testing of advanced driver assistant systems along a driving plane. The overrunable test vehicle comprising a chassis with a first end and a second end and including a mounting area configured to receive a soft target, and defining an axis of rotation transverse to the driving plane between the first end and the second end, four drive mechanisms coupled with the chassis, each drive mechanism having an electric motor with a drive wheel, and a control system coupled with the electric motors, and configured to control speed and torque of each of the electric motors, forming a torque vector that rotates the overrunable test vehicle about the axis of rotation to a target rotation angle. The axis of rotation is a location between the two drive mechanisms that the chassis turns about when the torque vector is applied to the chassis of the overrunable test vehicle.

Abstract: Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Abstract: A driving assistance device for a vehicle includes an acquisition module configured to acquire information comprising at least one of vehicle state information and environment information surrounding the vehicle; a decision module configured to determine a driving behavior for the vehicle in an autonomous driving mode based on the acquired information; a pre-processing module configured to process the acquired information to identify a respective information category among a plurality of predefined information categories the acquired information belongs to; and a determining module configured to retrieve one or more traffic rules related to the information category the acquired information belongs to from a traffic rule database pre-stored in the driving assistance device; determine whether the driving behavior violates any of the retrieved traffic rules; and determine risks of said driving behavior if it is determined the driving behavior violates at least one of the retrieved traffic rules, said risks compr

Abstract: An automatic control apparatus and a method of in-vehicle infotainment volume are proposed. The automatic control apparatus is configured to detect obstacle (people or object) around a vehicle using a parking assistance system sensor, and to adjust the playback volume of an in-vehicle infotainment (IVI) to be automatically reduced when an obstacle is detected around the vehicle, and to automatically adjust the playback volume of the IVI during not only reversing but also forward moving of the vehicle.

Abstract: A method for designing and operating aircraft nose landing gear wheel-mounted electric taxi systems to move aircraft during ground travel. Electric taxi system components are engineered and sized to produce optimal ground travel torque to move aircraft during the majority of aircraft ground travel and are operated in conjunction with the aircraft steering to turn the nose wheels to an effective angle that moves the aircraft during pushback and in breakaway situations. The nose landing gear wheels are turned to an effective angle and the electric taxi systems are operated simultaneously to get the aircraft moving. After breaking away, the aircraft is driven with electric taxi systems at the optimal ground travel torque in a forward or reverse direction with the nose wheels parallel or in a desired ground travel direction with the nose wheels steered in the desired direction of ground travel.

Abstract: A system for determining optimal paths without collision through a travel volume for a swarm of vehicles is disclosed. The system determines a travel path for the swarm leader vehicle using a minimal cost path derived from various measures of environmental cost for avoiding objects in traveling from leader location to target location. The system also determines, for each empty neighbor location of each follower vehicle, relational costs for follower vehicle travel relative to leader vehicle travel. The various measures of relational cost seek to maintain a prescribed positional relationship between each follower vehicle and the leader vehicle given the leader vehicle travel path. Based on various measures of environmental and relational cost, the system determines the best travel path for the each follower vehicle relative to the leader vehicle.

Abstract: An improved method, system, and apparatus is provided to implement a general architecture for robot systems. A mode execution module is provided to universally execute execution modes on different robotic system. A system includes an execution module that receives software instructions in a normalized programming language. The system also includes an interface having a translation layer that converts the software instructions from the normalized language into robot-specific instructions that operate in a particular robotic system. The system further includes a controller that is communicatively coupled to the interface, wherein the controller receives the robot-specific instructions. Moreover, the system includes a robotic device that is operatively controlled by the controller by execution of the robot-specific instructions.

Abstract: Aspects of the disclosure provide for generation of trajectories for a vehicle driving in an autonomous driving mode. In one instance, a default number of trajectories to be generated may be identified. A set of maneuvering options may be selected from a set of predetermined maneuvering options based on the number of trajectories. The set of maneuvering options may be filtered based on the default number of trajectories. A set of trajectories may be generated based on the filtered set of maneuvering option such that each trajectory of the set corresponds to a different maneuvering behavior. A cost for each trajectory of the set of trajectories may be determined, and one of the trajectories of the set of trajectories may be selected based on the determined costs. The vehicle may be maneuvered in the autonomous driving mode according to the selected one of the trajectories.

Abstract: A drive and control system for a utility vehicle includes a CAN-Bus network and a vehicle control module operable to communicate signals to and from one or more components via the CAN-Bus network. The system includes first and second electric actuators with first and second electronic drive modules, respectively. The system includes a steering and drive input device and a steering and drive sensor module operable to post on the CAN-Bus network a steering and drive input command. The vehicle control module processes the steering and drive input command and post on the CAN-Bus network a steering and drive output command. The first and second electronic drive modules process and convert the steering and drive output command to appropriate first and second actuator commands to drive the first and second electric actuators to obtain the desired speed and direction of motion of the utility vehicle.

Abstract: Disclosed is an approach for recalibrating a mobile base station (MBS) after it has moved to a non-survey location by determining a satellite-signal-accurate (SSA) location for the mobile base station based on GPS signals received by the mobile base station and further determining a near-survey-accurate (NSA) location for the mobile base station based on the determined SSA location for the mobile base station and applying an offset calculated by the navigational vehicle based on relatively fixed objects for which near-survey-accurate locations are known.

Abstract: Disclosed is a decision-making and planning integrated method for a nonconservative intelligent vehicle in a complex heterogeneous environment, including the following steps: offline establishing and training a social interaction knowledge learning model; obtaining state data of the traffic participants and state data of an intelligent vehicle online in real time, and splicing the state data to obtain an environmental state; using the environmental state as an input to the trained social interaction knowledge learning model to obtain predicted trajectories of all traffic participants including the nonconservative intelligent vehicle; updating the environmental state based on the predicted trajectories; and inputting the updated environmental state to the social interaction knowledge learning model to complete trajectory decision-making and planning for the nonconservative intelligent vehicle by iteration, where a planned trajectory of the nonconservative intelligent vehicle is a splicing result of a first poi

Abstract: A passenger vehicle optical communication system includes a source vehicle including a light source and an endpoint vehicle including a camera. The source vehicle transmits a series of patterns using the light source to communicate, as one example, state information to the endpoint vehicle.

Abstract: An autonomous driving shuttle includes a camera unit configured to acquire an image and a processor configured to control the camera unit. The processor is configured to identify information on an operation of the autonomous driving shuttle and to recognize a guide line using at least one camera included in the camera unit. The autonomous driving shuttle is configured to drive using the information on the operation and the recognized guide line.