Abstract: A method for adjusting a controller of a transportation vehicle includes receiving transportation vehicle state information and information about a current value of at least one variable controller parameter of the controller, calculating a setpoint value for the variable controller parameter, and outputting the setpoint value for the variable controller parameter. The calculating the setpoint value includes using an artificial neural network based on the transportation vehicle state information and the information about the current value of the variable controller parameter.

Abstract: A vehicle control apparatus of an embodiment includes a surrounding situation recognition unit which recognizes a situation of surroundings of a vehicle, a branch point recognition unit which recognizes a branch point present in a traveling direction of the vehicle on the basis of the recognition result of the surrounding situation recognition unit, a main lane recognition unit which recognizes a main lane connected to the branch point, and a driving control unit which controls one or both of the steering and acceleration/deceleration of the vehicle and causes the vehicle to travel in the direction of the main lane recognized by the main lane recognition unit at the branch point.

Abstract: The present disclosure provides systems and methods for controlling autonomous vehicles. In one example implementation, a method includes providing for display to a passenger of an autonomous vehicle, by a computing system having one or more computing devices, a user interface on a display device. The user interface includes at least one interface element associated with directing movement of the autonomous vehicle. The method includes receiving, by the computing system, a user interaction for a time period directed to the interface element. During the time period, the method includes providing, by the computing system, one or more signals indicative of the user interaction to control the autonomous vehicle to autonomously travel along a predetermined path.

Abstract: Systems and methods are provided for performing autonomous vehicle operation analysis. A method includes sensor data being received from sensor devices that is representative of an environment and operation of a human-operated vehicle. Human event data is determined based upon the received sensor data. Event data associated with operation of an autonomous vehicle is received. The human event data is correlated with the autonomous vehicle event data based upon degree of similarity of human-operated vehicle events and autonomous vehicle events with respect to driving scenarios. Safety-related analysis is generated, by the one or more data processors, based upon the correlated human-operated vehicle events and autonomous vehicle events.

Abstract: Some embodiments of the invention provide a speed control system (10, 12) for a vehicle (100), comprising: torque control means (12) for automatically causing application of positive and negative torque, as required, to one or more wheels (111, 112, 114, 115) of a vehicle (100) to cause a vehicle (100) to travel in accordance with a target speed value; path prediction means (10) for predicting a path PP of the vehicle (100) in a direction of travel; detection means (10) for detecting one or more objects (195) ahead of the vehicle (100); determining means (10) to determine whether one or more objects (195) detected by the detection means (10) lie outside the predicted path (PP); and control means (12) configured to, if said one or more detected objects (195) are determined to lie outside the predicted path (PP), automatically temporarily reduce the vehicle speed in dependence at least in part on a distance of the one or more detected objects (195) from the predicted path (PP).

Abstract: The disclosure relates to drone user equipment (UE) indications that may be conveyed to a wireless network. In particular, a UE that has flight capabilities (i.e., capabilities to operate as an unmanned aircraft system) and optional further capabilities to report a current height level may indicate such capabilities to the wireless network. As such, the wireless network may differentiate the drone UE from other UEs that only operate on the ground. Furthermore, the optional current height level may enable the wireless network to differentiate among drone UEs operating at different heights and/or from other UEs that are operating on the ground. The wireless network may further use the information indicating the flight capabilities either alone or in combination with the optional height information to configure power control parameters, manage interference, provide mobility management functions, generate neighbor lists, control beamforming, or implement a radio resource configuration or management procedure.

Abstract: A system and method for instance-level lane detection for autonomous vehicle control includes: receiving training image data from a training image data collection system; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting roadway lane marking features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting roadway lane marking features from the image data, causing the plurality of trained tasks to generate instance-level lane detection results.

Abstract: A vehicle control system including: a surrounding state detector is configured to detect a state of the surroundings, a first running assistor is configured to automatically control at least acceleration/deceleration or steering such that the subject vehicle can run along a route to a destination; a monitor is configured to monitor whether or not the first running assistor is in a predetermined state and limit an operation of the first running assistor in a case in which the first running assistor is in the predetermined state; and a second running assistor is configured to assist a occupant's driving on the basis of the result of the detection executed and perform steering control according to a relation between the subject vehicle and a lane in a case in which the first running assistor is determined as being in the predetermined state.

Abstract: A control system for a vehicle including a power transmission system and a switching device has an electronic control unit configured to make a door open-close determination as to whether a door of the vehicle is open or closed, using an open-close signal indicating opening or closing of the door, and execute automatic parking control by causing the switching device to switch the power transmission system to the parking state, when the door open-close determination indicates that the door is open, while the vehicle is stopped with the power transmission system placed in the non-parking state. The electronic control unit determines that the door is open, when the open-close signal generated from at least one of a plurality of sensors provided for the same door changes from a close signal to an open signal.

Abstract: A mapping system, comprising an inertial measurement unit; a camera unit; a laser scanning unit; and a computing system in communication with the inertial measurement unit, the camera unit, and the laser scanning unit, wherein the computing system computes first measurement predictions based on inertial measurement data from the inertial measurement unit at a first frequency, second measurement predictions based on the first measurement predictions and visual measurement data from the camera unit at a second frequency and third measurement predictions based on the second measurement predictions and laser ranging data from the laser scanning unit at a third frequency.

Abstract: A system and method for multitask processing for autonomous vehicle computation and control includes: receiving training image data from a training image data collection system; performing a training phase to train a plurality of tasks associated with features of the training image data, the training phase including extracting common features from the training image data, causing the plurality of tasks to generate task-specific predictions based on the training image data, determining a bias between the task-specific prediction for each task and corresponding task-specific ground truth data, and adjusting parameters of each of the plurality of tasks to cause the bias to meet a pre-defined confidence level; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including extracting common features from the image data, causing the plurality of trained tasks to concurrently generate task-specific predictions based on the image data.

Abstract: Systems and methods are provided for smart-landmark-based positioning. Such methods may include detecting, using a sensor mounted on a vehicle, a landmark object, obtaining landmark information of the detected landmark object, the landmark information including identification of the landmark object and an encrypted location of the landmark object, transmitting, from the vehicle over a wireless network, a query including at least part of the obtained landmark information, receiving, by the vehicle over the wireless network, a query response including additional information of the landmark.

Abstract: The present disclosure provides a method and apparatus for anti hacker's hijacking of an autonomous vehicle, a device and a storage medium, wherein the method comprises monitoring an autonomous vehicle's running data; determining whether the autonomous vehicle is hijacked by a hacker according to a monitoring result and a preset rule; activating an anti-hijack emergency handling operation if it is determined that the autonomous vehicle is hijacked by the hacker. The solution of the present disclosure may be applied to improve safety of the autonomous vehicle.

Abstract: A system comprises a motor and a base. The motor is configured to control the physical movement of the system and the base is configured to be coupled with a computing device. The computing device is configured to receive an indication of a target object and detect an obstacle object in a physical environment of the system. In response to detecting an obstacle object, the computing device provides to a user an inquiry associated with the detected obstacle object and receives a natural language response. Based at least in part on the natural language response, the computing device controls the motor to navigate the system around the detected obstacle object. Once the target object is detected, the computing device provides an indication that the target object has been located.

Abstract: A grass management system includes a first moisture-obtaining device to obtain a first moisture value of grass in a mowing operation performed by a mower, a position-detecting device to detect a mowing position of the mower, and a creation supporting circuit to support creation of an operation plan for a working machine based on the first moisture value and the mowing position, the working machine being configured to perform an operation relating to the grass already mowed. The grass management system includes a moisture map creating circuit to create a moisture map of an agricultural field based on the first moisture value and the mowing position. The creation supporting circuit is configured to display the moisture map that is created by the moisture map creating circuit in creating the operation plan.

Abstract: In embodiments of an autonomous vehicle interface system, system nodes are each implemented as a distributed node for independent data processing of low-level sensor data and/or high-level system data. The high-level system data is abstracted from the low-level sensor data, providing invariance to system configuration in higher-level processing algorithms. The autonomous vehicle interface system includes at least one real-time bus for data communications of the low-level sensor data and the high-level system data between the system nodes. The system also includes an application programming interface (API) configured for access by the system nodes to the low-level sensor data and the high-level system data that is published on the real-time bus and accessible via the API.

Abstract: A vehicle driving assistance system capable of providing a driver of a vehicle with appropriate driving assistance when the vehicle is approaching an intersection. If a traffic signal includes multiple aspects that are in accord with the directions of traffic movement at an intersection, an identifier determines whether an intended direction of movement (an intention to turn right or left) at the intersection has been received from a driver through an identifying device. If the identifier has received an intended direction of movement, an aspect (a right-turn or left-turn arrow aspect) for which assistance is provided through communication by a reporter is identified. The reporter then assists the right or left turn of the vehicle for the intersection in step S7. If the identifier does not receive an intended direction of movement from the driver, the reporter assists only a straight-ahead movement of the vehicle in step S7.

Abstract: A method and system of determining whether a stationary vehicle is a blocking vehicle to improve control of an autonomous vehicle. A perception engine may detect a stationary vehicle in an environment of the autonomous vehicle from sensor data received by the autonomous vehicle. Responsive to this detection, the perception engine may determine feature values of the environment of the vehicle from sensor data (e.g., features of the stationary vehicle, other object(s), the environment itself). The autonomous vehicle may input these feature values into a machine-learning model to determine a probability that the stationary vehicle is a blocking vehicle and use the probability to generate a trajectory to control motion of the autonomous vehicle.

Abstract: The present invention provides a method and system for monitoring vehicle occupant safety. Biometric conditions of an occupant within an autonomous vehicle currently in motion are monitored via a plurality of sensors. The biometric conditions are analyzed with respect to predetermined baseline biometric conditions associated with the occupant and a medical emergency situation associated with occupant within the autonomous vehicle currently in motion is determined. In response, predetermined actions associated with resolving the emergency medical situation are executed and a resulting notification indicating the medical emergency situation is transmitted to a predetermined entity.

Abstract: The present disclosure relates to an apparatus for controlling the parking of a vehicle, a system having the same, and a method thereof. the apparatus for controlling parking of a vehicle includes a processor determining whether to generate a virtual object, depending on a length of a parking space and a current location of a vehicle, determining a parking target space in the parking space based on the virtual object upon generating the virtual object, generating a parking trajectory such that the vehicle is parked to the parking target space, to perform parking control based on the parking trajectory, when the parking space between a first object and a second object is scanned, and storage storing information generated by the processor.

Abstract: A method for guiding a motor vehicle on the basis of image data when autonomously driving the motor vehicle in platooning formation following a leading vehicle, by a steering controller coupled to a steering system and a headway controller receiving and controlling a vehicle's interdistance relative to a leading vehicle, said method comprising controlling, by the steering controller, the vehicle's lateral distance relative to a first lane side, said steering controller receiving inputs from a first lane side detector mounted on a first front side location of the vehicle, and from a second lane side detector mounted on a second front side location opposing said first front side location, wherein said first and second lane side detectors are spaced apart over or wider than the vehicle's width.

Abstract: A method is intended to assist the driver of a vehicle (VA) capable of being driven in an automated manner and in a manual manner, by means of a steering wheel (VV), in a traffic lane (VC1). This method comprises a step that involves determining an optimum trajectory of the vehicle (VA) in the event of automated driving, an actual current trajectory of the vehicle (VA) in the traffic lane (VC1), and a value of a parameter representative of a manual intervention being carried out by the driver on the steering wheel (VV), and representing these determined optimum and actual current trajectories on a medium (EA) with an aspect that depends on this determined value of the parameter.

Abstract: Systems, methods, tangible, non-transitory computer-readable media, and devices for configuration of a vehicle compartment are provided. For example, a method can include receiving, by a computing system, occupancy data based in part on one or more states of one or more objects. Based in part on the occupancy data and compartment data, a compartment configuration can be determined for one or more compartments of an autonomous vehicle. The compartment data can be based in part on a state of the one or more compartments. The compartment configuration can specify one or more spatial relations of one or more compartment components associated with the one or more compartments. One or more configuration signals can be generated based in part on the compartment configuration to control the one or more compartments of the autonomous vehicle.

Abstract: A method for ascertaining a piece of topological information of an intersection, including locating a vehicle with lane accuracy when negotiating the intersection; ascertaining data by the vehicle when negotiating the intersection; transmitting the data to a processing unit; and ascertaining a connectivity of lane-roadway combinations of the intersection from the data with the aid of the processing unit.

Abstract: Systems and apparatuses include a controller including a circuit structured to communicate with a platoon of vehicles, determine a platoon rank order, determine final separation distances between vehicles, affect operation of each vehicle to achieve the platoon rank order and final separation distances, monitor the platoon of vehicles to determine if a deserter is leaving the platoon of vehicles or if a critical change has occurred, determine an updated platoon rank order, and determine an updated final separation distances between vehicles.

Abstract: A route risk mitigation system and method using real-time information to improve the safety of vehicles operating in semi-autonomous or autonomous modes. The method mitigates the risks associated with driving by assigning real-time risk values to road segments and then using those real-time risk values to select less risky travel routes, including less risky travel routes for vehicles engaged in autonomous driving over the travel routes. The route risk mitigation system may receive location information, real-time operation information, (and/or other information) and provide updated associated risk values. In an embodiment, separate risk values may be determined for vehicles engaged in autonomous driving over the road segment and vehicles engaged in manual driving over the road segment.

Abstract: An approach is provided for detecting a presence of a physical divider on a road segment. The approach, for example, involves receiving sensor data from a vehicle traveling a road segment. The sensor data indicates a distance from the vehicle to the physical divider, a cross-sensor consistency of detecting the physical divider between at least two sensors of the vehicle, or a combination thereof. The approach also involves determining that the sensor data indicates the presence of the physical divider based on determining that the distance is within distance criteria, the cross-sensor consistency is within consistency criteria, or a combination thereof. The approach further involves updating data provided by a physical divider signal from the vehicle to indicate the presence of the physical divider on the road segment.

Abstract: Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, with the insurance customer's permission, operation of an autonomous (or semi-autonomous vehicle) by a vehicle operator may be monitored. Based upon vehicle and/or other data analysis, an identity of the operator may be determined, and operating data regarding the autonomous or semi-autonomous vehicle while the operator at least partially controls the autonomous vehicle may be monitored. A vehicle operator profile that includes information regarding an operating style of the vehicle operator based upon the operating data may be determined. Risk levels associated with operation of the autonomous vehicle based upon the information regarding the vehicle operator's operating style may be determined.

Abstract: The present disclosure relates to a method, apparatus, and computer-readable storage medium for trajectory update using remote vehicle control. According to an embodiment, the above-described method, apparatus, and computer-readable storage medium of the present disclosure generally relate to identifying an obstacle blocking at least a portion of a road based on data received from one or more vehicle sensors, determining whether a path trajectory cannot be found to operate the vehicle with respect to the identified obstacle while the vehicle is operating in autonomous mode, sending, upon determination that the path trajectory cannot be found, a request to a remote controller to navigate the vehicle, operating the vehicle in remotely controlled mode, based upon instructions received from the remote controller, wherein a movement trajectory of the vehicle is recorded while being operated in the remotely controlled mode, and updating a navigational map based at least on the recorded movement trajectory.

Abstract: An autonomous vehicle configured to generate a pull-out path to pull-out from a stationary state. The autonomous vehicle includes: an object detection device to detect an object within a distance range of the autonomous vehicle; at least one processor; and at least one computer memory operably connectable to the at least one processor and having stored thereon instructions which, when executed, cause the at least one processor to perform operations including: generating the at least one pull-out path for the autonomous vehicle; based on detecting at least one object blocking the at least one pull-out path, transmitting first information to the at least one object; determining whether second information is received from the at least one object; and controlling the autonomous vehicle to perform the pull-out based on a result of transmitting the first information and whether the second information was received from the at least one object.

Abstract: Systems and methods for controlling the motion of an autonomous are provided. In one example embodiment, a computer-implemented method includes obtaining data associated with an object within a surrounding environment of an autonomous vehicle. The data associated with the object is indicative of a predicted motion trajectory of the object. The method includes determining a vehicle action sequence based at least in part on the predicted motion trajectory of the object. The vehicle action sequence is indicative of a plurality of vehicle actions for the autonomous vehicle at a plurality of respective time steps associated with the predicted motion trajectory. The method includes determining a motion plan for the autonomous vehicle based at least in part on the vehicle action sequence. The method includes causing the autonomous vehicle to initiate motion control in accordance with at least a portion of the motion plan.

Abstract: An autonomous vehicle including a projector and a sensor system configured to output data representative of an object in an environment exterior of the autonomous vehicle. The autonomous vehicle can further include a data store that stores height map data. A computing system of the autonomous vehicle can classify an object as a person and can detect an initial position of the person. Responsive to the detection, the computing system can calibrate a notification to be projected on a ground of the environment exterior of the autonomous vehicle. The notification is based on output of a transform from a position of the projector to the ground and the transform is applied based on the predefined height map of the ground. The notification can be projected adjacent the person. The notification may be configured to inform the person that the autonomous vehicle detects a position of the person.

Abstract: Disclosed is a driving assistance apparatus for a vehicle, including: a communication apparatus configured to perform V2X communication with an external device outside of the vehicle; and a processor which is configured to: acquire information about a set path for the vehicle; receive V2V data from one or more other vehicles through the communication apparatus; based on the information about the set path and the one or more V2V data, select, from among the one or more V2V data, data of interest which is V2V data transmitted by a vehicle of interest which is a other vehicle located on the set path; and set a recommended path for the vehicle based on the data of interest.

Abstract: Systems and methods for operating a vehicle automatically in real time may be provided. The system may receive and process real time sensor data from a sensing system via an arithmetic and control unit (ACU). The system may obtain, via the ACU, one or more tasks during the processing of the real time sensor data. The system may classify, via the ACU, the one or more tasks into real time vehicle controlling (VC) tasks and non real time VC tasks. The system may further send the real time VC tasks to at least one dedicated processing core of the ACU for processing the real time VC tasks and generating one or more real time VC commands accordingly.

Abstract: Vehicles and methods of predicting a surrounding vehicle cut-in and controlling the vehicle to accommodate the vehicle cut-in are disclosed. In one embodiment, a vehicle includes one or more sensors operable to generate data of a surrounding vehicle, one or more processors, and a non-transitory computer-readable medium storing computer-executable instructions. When the computer-executable instructions are executed by the one or more processors, the one or more processors receive the data of the surrounding vehicle, and extract one or more features from the data of the surrounding vehicle. Based on the one or more features, the one or more processors are controlled to determine a probability that the surrounding vehicle will cut in front of the vehicle, and to control the vehicle in accordance with the probability that the surrounding vehicle will cut in front of the vehicle.

Abstract: Disclosed are methods and a system for customizing operation of a self-driving motor vehicle according to operation behaviors preferred by an individual passenger wherever needed, promising to provide an experience as if the self-driving motor vehicle is driven by the mind of the passenger the first time it operates on a public roadway.

Abstract: Methods are introduced for customizing and legalizing a self-driving motor vehicle by personalizing and/or disciplining before and during a self-driving motor vehicle is practically used, with human knowledge, preferences and experiences, to provide a more personal service and overcome some hurdles in legalization of self-driving motor vehicles, serving as a bridge in the transition from a human driving world to a personized autonomous freeway.

Abstract: A vehicle control system includes an automatic driving control unit configured to automatically control at least one of acceleration or deceleration and steering of a subject vehicle, an operation reception unit configured to receive an operation of a vehicle occupant of the subject vehicle, an estimation unit configured to estimate a state of the vehicle occupant, and an override control unit configured to perform an override for switching from automatic driving to manual driving on the basis of the operation from the vehicle occupant received by the operation reception unit and suppress the override in a case where a decrease of a driving intention of the vehicle occupant is estimated by the estimation unit.

Abstract: An apparatus and method for producing a map based on a hierarchical structure to produce a 3D high-precision map based on the hierarchical structure using a low-priced 2D laser scanner is provided. The apparatus and method produces the 3D high-precision map based on the hierarchical structure using the low-priced 2D laser scanner.

Abstract: A first permissible operating range of the self-elevating vessel is determined based on a first structural analysis of the self-elevating vessel under a first set of conditions. A structural utilization ratio of the self-elevating vessel is determined based on a second structural analysis of the self-elevating vessel under first and second sets of conditions. Safety of lowering the self-elevating vessel from an elevated state to a first hull draft level is determined when the structural utilization ratio is less than a predetermined value. Safety of lowering the self-elevating vessel from the first hull draft level to a second hull draft level is indicated when positional displacement data obtained while the vessel is at the first hull draft level indicates that the positional displacement of the self-elevating vessel while at the first hull draft level is within the first permissible operating range.

Abstract: In one embodiment, a method for road geometry matching with componentized junction models is provided. The method includes receiving a plurality of predefined road component models, receiving map data representing a physical road junction, selecting a subset of the plurality of road component models to characterize the physical road junction represented by the received map data, and defining a road junction configuration for the physical road junction with the selected road component models.

Abstract: A vehicle control device for controlling a vehicle can include a sensor to detect an occupant of the vehicle getting out of the vehicle at a drop-off location; an interface unit; and a processor to determine a target parking spot for the vehicle based on information acquired through the interface unit, and in response to detecting the occupant getting out of the vehicle, transmit a control signal to a vehicle drive apparatus, via the interface unit, to park the vehicle at the target parking spot.

Abstract: Techniques are disclosed for filtering point cloud data associated with particulate matter (e.g., gas, exhaust, fog, etc.) which do not impact driving from data used to plan a trajectory and/or a route of a robotic platform. The filtering may be based on determining that a set of points associated with a point cloud represents a navigable space for the robotic platform. The point cloud data may be filtered based on a determination that one or more safety conditions are satisfied. Semantic segmentation may be performed on an image to determine pixel classification probability distributions associated with pixels of the image. Data associated with the set of points may be projected onto the image to identify corresponding pixels. Confidence scores associated with pixel classification probability distributions for the identified pixels may be queried. A classification probability distribution for the set of points may be determined based at least in part on the queried confidence scores.

Abstract: A control system for a vehicle comprises an automated driving control part configured to automatically perform driver assistance operations for which the driver has given permission among a plurality of driver assistance operations. The automated driving control part comprises a package determining part using at least one of the surrounding environment information, the host vehicle information, and the driver information as the basis to determine a driver assistance package packaging permissions for a plurality of driver assistance operations and a package proposing part proposing to the driver to switch to a driver assistance package so as to obtain permissions for the individual driver assistance operations permitted in the driver assistance package.

Abstract: The present disclosure concerns a method and device that assists a parking maneuver of a motor vehicle. The method and device to assist a parking maneuver of a motor vehicle, with which the motor vehicle is maneuvered into an intended parking space at least partly, automatically, detects a curb bounded by at least one curb edge located in a vicinity of the motor vehicle. A trajectory is determined along which the motor vehicle can be moved into the intended parking space while carrying out at least one move of the maneuver. The trajectory is modified depending on at least one distance between the at least one curb edge and a tire of the motor vehicle that is expected for the trajectory while carrying out the parking maneuver.

Abstract: An autonomous vehicle driving system includes a control that autonomously controls the vehicle. The control, upon receipt of a destination geographical location, controls the vehicle to travel to the destination geographical location, and wirelessly receives data pertaining to driving conditions relevant to the route being traveled by the vehicle. Responsive to the received driving conditions data, the control determines a geographic location ahead of the vehicle along the route where driving of the vehicle by an occupant of the vehicle is desired. When the vehicle is traveling along the route and toward the determined geographic location and is within a threshold time and/or distance to the determined geographic location, the control informs the occupant of distance to and/or time of travel to the determined geographic location so the occupant is prepared to take over control of the vehicle and drive the vehicle upon the vehicle reaching the determined geographic location.

Abstract: We disclose sensor systems, and associated calibration systems and methods, that provide efficient and reliable depth and texture fusion. One disclosed method includes transmitting a first light beam from a first perspective, transmitting a second light beam from a second perspective, aligning a visible light photodetector with the second perspective, aligning a depth sensor with the first perspective, and mutually registering the visible light photodetector and the depth sensor using a return of the first light beam, a return of the second light beam, and a reference map. The reference map can include a transform from a reference frame based on the first perspective and a reference frame based on the second perspective.

Abstract: Techniques for remote operation of vehicles are presented. Remote operation can involve maneuvering, by a vehicle computer system, a vehicle based on driving instructions from a remote computer system. The vehicle computer system collects sensor data from a plurality of sensors onboard the vehicle. Based on the sensor data, data associated with a visual representation of the surrounding environment is generated and sent to the remote computer system. The generating of the data can involve fusing sensor data to identify one or more features of a surrounding environment. The generated data may be indicative of the identified features. The visual representation is output on a display device of the remote computer system. The driving instructions can be based on human input supplied in response to the visual representation. In certain embodiments, the vehicle is maneuvered toward a location within proximity of a parking space before performing automated parking.

Abstract: Autonomous ground vehicles (“AGVs”) receive items from transportation vehicles (e.g., delivery trucks) for delivery to specified locations. After the items are received, the AGVs may navigate along travel paths to delivery locations (e.g., at user residences) to deliver the items. The AGVs may include navigation systems and sensors (e.g., imaging sensors, distance detection sensors, etc.) to assist with the navigation, and may include locking mechanisms that lock the storage compartments of the AGVs while travelling.

Abstract: A method and apparatus for outputting information of an autonomous vehicle are provided. The autonomous vehicle comprises a lidar. A specific embodiment of the method comprises: determining a target area around the autonomous vehicle from a target map based on positioning information of the autonomous vehicle; acquiring obstacle point cloud data in a preset area around the autonomous vehicle by the lidar, the preset area including the target area; determining a point cloud data set corresponding to the target area from the point cloud data of the obstacle based on the target area and the point cloud data, and determining the point cloud data set as a target point cloud data set; and outputting the target point cloud data set. The embodiment has reduced the usage rate of vehicle terminal processors, and improved the driving safety of the vehicle.