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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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.

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: 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: 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 system, for cutting a plurality of lawns, including: A) two or more robotic lawn mowers which each has a rechargeable energy storage, and B) a carrier, which includes: a) at least two holders, each of which is capable of retaining one of the two or more robotic lawn mowers and b) a charging system for the rechargeable energy storage. Also provided is the carrier as such and a method in which the system and the carrier can be used. The mowers are typically battery powered.

Abstract: An automatic parking management apparatus is applied to a parking lot that allows an automatic parking control of automatically parking a vehicle, which is stopped at a start position, into a parking space. The automatic parking management apparatus is provided with: a determinator configured to determine whether or not the vehicle is stopped in a predetermined range for defining the start position, when the automatic parking control is intended to be started; and an instructor configured to output an instruction to move into the predetermined range, to the vehicle, if it is determined that the vehicle is not stopped in the predetermined range.

Abstract: Transporters and methods for transporting an object. The transporter includes a carrier comprising a plurality of coupling members; a support assembly adapted to support the carrier; and a plurality of automatic guided vehicles configured to obtain kinematic information from a leading automatic guided vehicle of the plurality of automatic guided vehicles. Each of the plurality of automatic guided vehicles includes a carrier connecting member coupled to the respective coupling member of the carrier to enable the carrier to move with the plurality of automatic guided vehicles; and a patrol assembly adapted to enable the respective automatic guided vehicle to move along the predetermined path.

Abstract: A tailsitter aircraft includes an airframe having first and second wings with first and second pylons extending therebetween, a thrust array attached to the airframe, payloads and payload saddle assemblies coupled to the pylons each configured to secure a respective payload. The thrust array includes propulsion assemblies configured to transition the airframe between a forward flight orientation for wing-borne lift and a VTOL orientation for thrust-borne lift. Each payload saddle assembly includes a latch assembly and a retainer configured to secure the respective payload against a respective pylon. A latch assembly is movable between various positions including an open position and a closed position and is configured to secure the respective payload in the closed position and release the respective payload in the open position. Each latch assembly is configured to move from the closed position to the open position to release the respective payload in the VTOL orientation.

Abstract: A vehicle driving support system capable of supporting driving of a vehicle that travels on a road includes a notifier, and an acquirer. In a case where there is a first vehicle that moves between lanes, the notifier is configured to, provide notification of presence of the first vehicle to a second vehicle travelling in a target lane into which the first vehicle is to move. The acquirer is configured to acquire a size of a merging space that is to be provided by the second vehicle for merging of the first vehicle. In a case where the first vehicle is travelling under autonomous operation or assisted operation, the acquirer is configured to acquire the size of the merging space such that the size of the merging space is longer than when acquired in a case where the first vehicle is travelling under manual operation.

Abstract: A parking assist apparatus sets a target position on a traffic lane, based on vehicle surrounding information, calculates a moving route, and executes a parking assist control of moving an own vehicle along the moving route. The parking assist control includes a steering angle control, a driving force control, and a braking force control. The parking assist apparatus changes the stopping number of stopping the own vehicle, based on the vehicle surrounding information while moving the own vehicle along the moving route.

Abstract: The present invention relates to a mobile robot system for autonomously traveling in a travel area, and a method for generating boundary information of the mobile robot system, the mobile robot system being characterized by comprising: a transmitter for transmitting a transmission signal including location information; and a mobile robot which moves and rotates on the basis of the separation distance to the transmitter and the angle with respect to the transmitter, and generates boundary information on a travel area by using a movement path, wherein the transmitter moves along the periphery of the mobile robot and changes the separation distance and the angle to control the travel of the mobile robot.

Abstract: A vehicle controller includes a processor configured to: determine a driving plan when a lane change from a host vehicle lane to another lane is requested. The driving plan represents travel behavior of a vehicle until completion of the lane change and satisfies a safety condition that the vehicle will collide with none of objects around the vehicle detected from a sensor signal obtained by a sensor mounted on the vehicle. The processor is further configured to: set a completion condition indicating a position or time at which the completion of the lane change is required, determine whether the completion condition is satisfied when the vehicle is driven according to the driving plan, control the vehicle to make the lane change according to the driving plan when the completion condition is satisfied, and restrict execution of the lane change when the completion condition is not satisfied.

Abstract: A method of generating an output trajectory of an ego vehicle includes recording trajectory data of the ego vehicle and pedestrian agents from a scene of a training environment of the ego vehicle. The method includes identifying at least one pedestrian agent from the pedestrian agents within the scene of the training environment of the ego vehicle causing a prediction-discrepancy by the ego vehicle greater than the pedestrian agents within the scene. The method includes updating parameters of a motion prediction model of the ego vehicle based on a magnitude of the prediction-discrepancy caused by the at least one pedestrian agent on the ego vehicle to form a trained, control-aware prediction objective model. The method includes selecting a vehicle control action of the ego vehicle in response to a predicted motion from the trained, control-aware prediction objective model regarding detected pedestrian agents within a traffic environment of the ego vehicle.

Abstract: A system and a method are disclosed where a robot operating using a first traversal protocol traverses autonomously along a first route that is defined by markers that are detectable by the robot, wherein the robot is configured to move only based on a presence and type of each marker when the robot is configured to operate based on the first traversal protocol. The robot detects, while traversing along the route, a triggering condition corresponding to a change in operation by the robot from the first traversal protocol to a second traversal protocol. Responsive to detecting the triggering condition, the robot is configured to operate in the second traversal protocol, wherein the robot, when configured to operate based on the second traversal protocol, determines a second route autonomously without regard to a presence of any of the markers.

Abstract: A system for predicting a collision risk in lane change decision based on a radar sensor, includes radar sensors disposed at a front portion and a rear portion of a host vehicle to recognize a forward vehicle positioned at a front-side portion of the host vehicle and a rearward vehicle positioned at a rear-side portion of the host vehicle, respectively, and a moving controller configured to determine that the host vehicle is able to change a lane, when a position of a counterpart vehicle, which is measured through the radar sensor, is not included in a section of the local map, and when a relative acceleration of the counterpart vehicle is maintained in an allowance range for a specific time.

Abstract: A method for avoiding a collision between an autonomous mobile apparatus and a stationary or moving object initially deemed to be a collision threat includes acquiring a passage clearance of the object, from the point of view of the autonomous mobile apparatus, by establishing in two dimensions the nearest and the furthest physical parts of the object in the planned path of the autonomous mobile apparatus. Dimensions between the current position of the autonomous mobile apparatus and the at least two boundaries are computed as relative distances, and are considered as avoidance distances when the relative distances are greater than the passage clearance. For only one avoidance distance, a target boundary for clearance with safety is set based on the avoidance distance. The autonomous mobile apparatus moves along a specified direction to aim at the target boundary. An autonomous mobile apparatus applying the method is also disclosed.

Abstract: Provided is a highly reliable, cost-effective scattered object collection system that can efficiently collect scattered objects by reducing unnecessary traveling of a traveling collector. The scattered object collection system includes a traveling collector that performs a collecting operation by picking up balls B while traveling in a work area W, sets a virtual work area Z (or a virtual priority work area Za) to an area in the work area W where balls are relatively densely present and in the vicinity of the storage space of balls, and allows the traveling collector to perform a collecting operation in the virtual work area Z (or the virtual priority work area Za) with higher priority than the other areas.

Abstract: A method for processing a surface of an area to be processed using an autonomous mobile robot. The method includes the steps of controlling the robot in order to process the area according to a first processing pattern, monitoring a region in the surroundings of the robot, wherein the region has a fixed position relative to the robot, and controlling the robot in order to process the area according to a second processing pattern if a reachable and unprocessed region is detected in the monitored region.

Abstract: A velocity control-based robotic system is disclosed. In various embodiments, sensor data is received from one or more sensors deployed in a physical space in which a robot is located. A processor is used to determine based at least in part on the sensor data an at least partly velocity-based trajectory along which to move an element comprising the robot. A command to implement the velocity-based trajectory is sent to the robot.

Abstract: In a steering method for an agricultural machine, the agricultural machine is steered by track steering action independent of GNSS position data along an initial travel track in a working region until a headland adjoining the working region is reached at an exit point of the initial travel track. The agricultural machine is automatically steered by turn steering action, steering it based on an actual position determined based exclusively on GNSS position data, through the headland until an entry point of a target travel track in the working region is reached. The agricultural machine is steered by track steering action along the target travel track. The agricultural machine automatically detects a transition from a travel track of the working region into the headland and/or a transition from the headland into a travel track of the working region and switches accordingly between turn steering action and track steering action.

Abstract: A lane departure suppression device: executes automatic steering control when a lane departure condition is satisfied while an automatic steering permission condition is satisfied; executes warning control such that a level of a warning is a predetermined warning level when a departure avoidable condition is not satisfied, the departure avoidable condition being satisfied when the automatic steering permission condition is satisfied, in a case where the automatic steering control is not being executed when a warning execution condition is satisfied; and does not execute the warning control or executes the warning control such that the level of the warning is a level lower than the predetermined warning level when the departure avoidable condition is satisfied, in the case where the automatic steering control is not being executed when the warning execution condition is satisfied.

Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.

Abstract: Aspects of the disclosure relate to generating a model to assess maximum numbers of concurrent trips for an autonomous vehicle transportation service. For instance, historical trip data, including when requests for assistance were made, response times for those requests for assistance, and a number of available resources when each of the requests for assistance were made may be received. In addition, a number of concurrent trips, or trips that overlap in time, occurring when each of the requests for assistance were made may be received. The model may be trained using the historical trip data and the numbers of concurrent trips. The model may be configured to provide a maximum number of concurrent trips given a period of time, a number of available resources, and a response time requirement.

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

Abstract: The technology relates to fine maneuver control of large autonomous vehicles that employ multiple sets of independently actuated wheels. The control is able to optimize the turning radius, effectively negotiate curves, turns, and clear static objects of varying heights. Each wheel or wheel set is configured to adjust individually via control of an on-board computer system. Received sensor data and a physical model of the vehicle can be used for route planning and selecting maneuver operations in accordance with the additional degrees of freedom provided by the independently actuated wheels. This can include making turns, moving into or out of parking spaces, driving along narrow or congested roads, construction zones, loading docks, etc. A given maneuver may include maintaining a minimum threshold distance from a neighboring vehicle or other object.

Abstract: A method for controlling an automated driving operation includes setting up respective independent models for executing planning and learning in the automated driving operation, including a vehicle planning model and a cognitive learning model. A semantic layer is generated to act as a bridge between the cognitive learning model and the vehicle planning model, the semantic layer including a first data adaptor and a second data adaptor. The method includes transforming real traffic data to a respective equivalent abstract representation such that it can be used by the cognitive learning model to generate a humanized reward model, via the first data adaptor. The method includes determining a trajectory plan, via the vehicle planning model, based in part on the humanized reward model. The vehicle has a controller that executes the automated driving operation based in part on the trajectory plan.

Abstract: A method, performed by a movable device, of sensing an inclination of a distance sensor attached to the movable device includes sensing an obstacle fixed in a task space of the movable device; the movable device moving toward the sensed obstacle; while the movable device is moving, measuring a plurality of first distance values from the movable device to the obstacle by using the distance sensor; obtaining at least one second distance value indicating a moving distance of the movable device while measuring the plurality of first distance values, using odometry information of the movable device; and identifying an inclination state of the distance sensor based on the plurality of measured first distance values and the obtained at least one second distance value.

Abstract: Controlling motion of an autonomous vehicle may comprise determining a state space representation of the environment associated with the autonomous vehicle based at least in part on sensor data. The autonomous vehicle may parameterize the state space according to arc length and lateral distance from a route reference. The autonomous vehicle may determine a state in the state space upon which to base trajectory generation (e.g., via a tree search, via a state space sampling technique based on cost) and may determine a set of control instructions (i.e., a trajectory) that would bring the autonomous vehicle to the arc length and lateral distance specified by the state. Determining the state for generating the trajectory may be based on a heuristic for determining approximately where the trajectory would bring the vehicle, since the arc length parameterized state space doesn't include an indication of location.

Abstract: A method for switching modes for operating a vehicle, a non-transitory computer-readable medium for performing the method, and information processing apparatuses. The method includes determining, by circuitry of an information processing apparatus, whether a mode for operating the vehicle is to be switched from one of autonomous and manual driving modes to the other of the autonomous and manual driving modes. A state of a driver of the vehicle is obtained when the mode for operating the vehicle is determined to be switched. The method further includes switching, by the circuitry, the mode for operating the vehicle from the one of the autonomous and manual driving modes to the other of the autonomous manual driving modes based on the obtained state of the driver.

Abstract: The disclosure relates to a system for locating a charging base of a self-moving robot and method for locating a charging base of a self-moving robot. A position of the charging base can estimated according to a charging base locating area constructed when the self-moving robot receives infrared signals of the charging base, meanwhile, the position of the charging base which is estimated can be continuously adjusted according to a relationship between the charging base locating area and infrared signal receivers when the infrared signals are received in the subsequent motion process of the self-moving robot.

Abstract: An apparatus includes a video capture device and a processor. The video capture device may be mounted at a low position. The video capture device may be configured to generate a plurality of video frames that capture a field of view upward from the low position. The processor may be configured to perform video operations to generate dewarped frames from the video frames and detect objects in the dewarped frames, extract data about the objects based on characteristics of the objects determined using said video operations, perform path planning in response the extracted data and generate a video stream based on the dewarped frames. The video operations may generate the dewarped frames to correct a distortion effect caused by capturing the video frames from the low position. The path planning may be used to move the apparatus to a new location. The apparatus may be capable of autonomous movement.