Abstract: Systems and methods that facilitate identifying and controlling the systems and subsystems in a vehicle to enable autonomous operation of the vehicle are disclosed. An autonomous vehicle interface (AVI) (the “AVI control system”) can interface with and control the system of the vehicle, thereby enabling control of the vehicle as a whole. Electronic control units may be associated with each of the systems and subsystems in the vehicle, and the AVI may interface with and control these electronic control units over a shared data bus. In order to control particular electronic control units, the systems and methods provide for sampling data packets transmitted by the electronic control units on the shared data bus, measuring the impedance of the shared data bus when data packets are being transmitted, and identifying particular electronic control units based on the measured impedance.

Abstract: Systems and methods for determining whether a vehicle is driving in an unsafe or unsatisfactory manner are disclosed. In some implementations, a system may determine one or more driving scores for a vehicle based on observations of a driving behavior of the vehicle during a time period. The system may generate an indication of unsatisfactory driving based on at least one of the one or more driving scores exceeding a threshold value. The system may provide the indication of unsatisfactory driving to one or more entities. In some aspects, the system may identify one or more dangerous driving attributes exhibited by the vehicle during the time period based on the observations received from the one or more devices. The system may also generate the indication of unsatisfactory driving based at least in part on the identified dangerous driving attributes.

Abstract: Detection of a launch event of an autonomous vehicle may consider input from a variety of sensors, including acceleration sensors and touch sensors In some aspects, a method includes receiving a first input from a touch sensor, receiving a second input from an accelerometer, determining whether a launch of the autonomous vehicle is detected based on the first input and the second input, and controlling the autonomous vehicle in response to the determining. In some aspects, when a launch is detected, a motor of the autonomous vehicle may be energized. By detecting a launch event in this manner, improved safety and reliability may be realized. A reduced occurrence of false positive launch events may reduce a risk that the motor of the autonomous vehicle is energized when the vehicle has not actually been launched.

Abstract: A communication system that determines a context and an intent of a specific remote vehicle located in a surrounding environment of a host vehicle includes one or more controllers for receiving sensed perception data including sensed perception data. The one or more controllers execute instructions to determine a plurality of vehicle parameters related to the specific remote vehicle. The the one or more controllers execute instructions to associate the specific remote vehicle with a specific lane of travel of a roadway based on map data. The one or more controllers determines possible maneuvers, possible egress lanes, and a speed limit for the specific remote vehicle for the specific lane of travel based on the map data, and determines the context and the intent of the specific remote vehicle based on the plurality of vehicle parameters, the possible maneuvers, the possible egress lanes for the specific remote vehicle, and the speed limit related to the specific remote vehicle.

Abstract: Systems and methods for navigating an aerial vehicle are provided. One example aspect of the present disclosure is directed to a method for navigating an aircraft. The method includes receiving, by one or more processors, one or more first geographic coordinates via an interface configured to receive geographic coordinates from a satellite transmission. The method includes receiving, by the one or more processors, one or more second geographic coordinates via an interface configured to receive geographic coordinates from a ground transmission. The method includes determining, by the one or more processors, that the one or more first geographic coordinates and the one or more second geographic coordinates are inconsistent. The method includes updating, by the one or more processors, a flight plan using the one or more second geographic coordinates when the one or more first geographic coordinates are inconsistent with the one or more second geographic coordinates.

Abstract: A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

Abstract: A driving assistance apparatus for a vehicle includes a surrounding environment information acquirer that acquires environment information about a surrounding of the vehicle, a leading-vehicle detector that detects a leading vehicle based on the environment information, a moving-body detector that detects a moving body in the surrounding of the vehicle based on the environment information, a vehicle-speed detector that detects a vehicle speed of the vehicle, and a region setter that sets a cut-in detection region for detecting entrance of the moving body between the vehicle and the leading vehicle when a travel controller causes the vehicle to travel such that the vehicle follows the leading vehicle. The region setter sets a protruding region that is included in the cut-in detection region based on at least the vehicle speed such that a length of protrusion in a left-right direction of the protruding region increases as the vehicle speed decreases.

Abstract: Embodiments of the present application disclose a positioning method and apparatus, an autonomous driving vehicle, an electronic device and a storage medium, relating to the field of autonomous driving technologies, comprising: collecting first pose information measured by an inertial measurement unit within a preset time period, and collecting second pose information measured by a wheel tachometer within the time period; generating positioning information according to the first pose information, the second pose information and the adjacent frame images; controlling driving of the autonomous driving vehicle according to the positioning information. The positioning information is estimated by combining the first pose information and the second pose information corresponding to the inertial measurement unit and the wheel tachometer respectively. Compared with the camera, the inertial measurement unit and the wheel tachometer are not prone to be interfered by the external environment.

Abstract: The disclosed computer-implemented method may include (i) receiving a first transport request and a second transport request, (ii) evaluating a fitness of matching the first and second transport requests to be fulfilled by a transport provider, based at least partly on a transportation overlap between the first and second transport requests, (iii) generating a simulated future transport request, (iv) evaluating a fitness of matching the first transport request with the simulated future transport request, based at least in part on a transportation overlap between the first transport request and the simulated future transport request, and (v) matching the first and second transport requests based at least in part on the fitness of matching the first and second transport requests and based at least in part on the fitness of matching the first transport request with the simulated future transport request. Various other methods, systems, and computer-readable media are disclosed.

Abstract: A data generation unit generates second abnormal sound data indicating a change in loudness of a sound each time a rotation state changes by a certain amount, based on first abnormal sound data that is data of an abnormal sound generated due to a rotary motion of a rotation device mounted on an object, and rotation data that is data relating to the rotary motion of the rotation device. The second abnormal sound data is input to a sound source estimation unit, and a certainty factor of being a sound source of the abnormal sound indicated by the second abnormal sound data is output to each of a plurality of parts mounted on a vehicle.

Abstract: A vehicle may include an active ride comfort tuning system that reactively and/or proactively alters a parameter of a system of the autonomous vehicle to mitigate or avoid interruptions to ride smoothness. An indication that a ride smoothness interruption occurred at a vehicle may be generated at the vehicle and/or at a remote computing device. The remote computing device may determine an altered parameter for controlling how the vehicle operates and a ruleset for when the vehicle should implement the altered parameter in place of a nominal parameter.

Abstract: A platooning controller, a vehicle system including the same, and a method thereof are provided. The platooning controller includes a processor that displays each of a plurality of vehicles forming a platoon as a certain vehicle area and arranges and displays vehicle areas of the vehicles on a screen to be partially overlapped with each other. A storage stores information for configuring the screen by the processor.

Abstract: A computer-implemented robot pickup method including receiving a request from a user to pick up an article at a first location. A robot having a closeable transport container is navigated to the first location. The robot opens the closeable transport container and moves the article inside the closeable transport container at the first location, and navigates over an outdoor transportation network from the first location to the second location to deliver the article to the second location.

Abstract: An autonomous vehicle can be navigated through an intersection. Topological information about the intersection can be obtained. The topological information can include, for example, a count of a number of lanes on roads associated with the intersection, information about an entrance point to the intersection, or information about an exit point from the intersection. Based on the topological information, context information about a candidate trajectory through the intersection can be obtained. For example, the context information can be based on a current time or information about a position of an object with respect to the topological information. Based on the context information, an existence of an advantage to change an actual trajectory of the autonomous vehicle can be determined. In response to a determination of the existence of the advantage, a change to the actual trajectory of the autonomous vehicle can be caused to occur.

Abstract: Vehicle systems and methods for autonomously controlling a vehicle to create a reaction by one or more surrounding vehicles, where the reaction is used to build one or more vehicle profiles are disclosed. In one embodiment, a vehicle includes an object detection system configured to output an object signal in response to detecting one or more vehicles operating in an environment surrounding the vehicle, an autonomous control system configured to autonomously control one or more vehicle systems of the vehicle, one or more processors, and one or more non-transitory memory modules communicatively coupled to the processors and storing machine-readable instructions that, when executed, cause the one or more processors to perform at least determining the vehicle is operating in an autonomous driving mode, and in response to determining the vehicle is operating in the autonomous driving mode, determine a presence of the one or more vehicles.

Abstract: Example implementations relate to a method of dynamically updating a transport task of a UAV. The method includes receiving, at a transport-provider computing system, an item provider request for transportation of a plurality of packages from a loading location at a given future time. The method also includes assigning, by the transport-provider computing system, a respective transport task to each of a plurality of UAVs, where the respective transport task comprises an instruction to deploy to the loading location to pick up one or more of the plurality of packages. Further, the method includes identifying, by the transport-provider system, a first package while or after a first UAV picks up the first package. Yet further, the method includes based on the identifying of the first package, providing, by the transport-provider system, a task update to the first UAV to update the respective transport task of the first UAV.

Abstract: An aftermarket vehicle head unit integration cartridge for use with an aftermarket head unit is provided. The aftermarket head unit preferably includes a dedicated slot for insertion of the cartridge. The cartridge preferably supports communication between a plurality of electronic components in the aftermarket head unit and a plurality of electronic components in the vehicle. The plurality of electronic components in the aftermarket head unit may include, for example, an audio processing system, a video processing system, an analog I/O and/or a digital I/O. and/or a plurality of electronic components. The plurality of electronic components in the vehicle may include an audio system, an analog I/O, a digital I/O/databus, and/or a steering wheel control unit. The cartridge may include a flashable memory for use in reconfiguring the cartridge. The cartridge may be configured to capture and condition the signals from at least one of the plurality of the vehicle-based electronic components.

Abstract: The present invention provides a control module (10) for controlling powered operation of a platform (2) for a vehicle compartment (101) that is movable between a first position in which the platform engages a moveable structure (102) of the vehicle (100) and a second position; wherein the control module (10) is configured to control movement of the platform (2) from the second position to the first position by first controlling a powered actuation means (5) to move the platform (2) from the second position through the first position and into a third position, and then controlling the powered actuation means (5) to move the platform (2) from the third position into contact with the moveable structure (102) to thereby bring the platform (2) into the first position.

Abstract: A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

Abstract: An ego vehicle includes decider modules and a grader module coupled to a resolver module. The decider modules generate trajectory decisions at a current time, generate a current two-dimensional slice of a flat space around the ego vehicle, generate future two-dimensional slices of the flat space by projecting the current two-dimensional slice of the flat space forward in time, and generate a three-dimensional state space by stacking the current two-dimensional slice and the future two-dimensional slices. The grader module generates rewards for the trajectory decisions based on a recent behavior of an ego vehicle. The resolver module selects a final trajectory decision for the ego vehicle from the trajectory decisions based on the three-dimensional state space and the rewards. The current two-dimensional slice includes a current ego vehicle location and current neighboring vehicle locations. The future two-dimensional slices include future ego vehicle locations and future neighboring vehicle locations.