Abstract: An example method includes identifying a degraded visual environment corresponding to a phase of a route followed by the vehicle. The method includes determining, based on the phase of the route, a first segment of a trajectory of the vehicle along which to search for a location with an improved navigation environment. The method includes causing the vehicle to follow the first segment until: (i) identifying the improved navigation environment, or (ii) reaching an end of the first segment without identifying the improved navigation environment. The method includes determining a second segment of the trajectory based on whether the improved navigation environment has been identified. The method includes causing the vehicle to follow the second segment.

Abstract: An aerodynamic deflector on the vehicle is repositionable. An actuator is coupled with the aerodynamic deflector. A controller configured to: detect a performance mode of operation of the vehicle; determine a requested lateral acceleration; calculate a control adjustment of the aerodynamic deflector to generate a downforce to achieve the requested lateral acceleration and maximize lateral grip of the vehicle; and operate the actuator to effect the control adjustment of the aerodynamic deflector to generate the downforce on the vehicle.

Abstract: A method of determining whether a planned trajectory of a first vehicle over a road along which the first vehicle and a second vehicle are traveling, is invalid, comprising: obtaining the planned trajectory, comprising a first state of the first vehicle for each of a plurality of time instants; obtaining a second state of the second vehicle for each time instant; determining, for each time instant, a respective lateral range extending from the second vehicle; and determining that the planned trajectory is invalid where, for the first and second states at one or more of the time instants: the first vehicle is within the lateral range and within a lane boundary region of the road; and a direction of a lateral velocity of the first vehicle is towards the second vehicle and a lateral acceleration of the first vehicle away from the second vehicle is smaller than a predetermined threshold.

Abstract: A control method for a mobile robot includes: obtaining indication information of a target object, wherein the indication information includes position information of the target object in a reference image output by a photographic apparatus of a mobile robot; determining the position information of the target object according to the indication information; and controlling, according to the position information of the target object, the mobile robot to move around the target object. With the provided control methods and apparatuses, devices, and storage media, the mobile robot may move around the target object without needing to move to a circling center to record a position of the circling center.

Abstract: Aircraft, fly-by-wire systems, and controllers are provided. An aircraft includes a trim control system and a fly-by-wire system. The trim control system is configured for controlling surfaces of the aircraft. The fly-by-wire system is communicatively coupled with the trim control system and includes an input device and a controller. The input device is configured to receive a re-trim input from a user. The controller is communicatively coupled with the input device and is configured to control the trim control system, to obtain the re-trim input from the user, and to set a pitch trim of the aircraft based on a stable flight condition at a present airspeed of the aircraft in response to the re-trim input from the input device.

Abstract: Techniques for presenting a user interface on a display for monitoring and/or controlling a vehicle. The user interface may include a digital representation of an environment in which the vehicle is operation. Additionally, the user interface may include system interface that is configured to display one or more notifications associated with systems or components of the vehicle. The system interface may additionally, or alternatively, comprise one or more control inputs for controlling systems or components of the vehicle. The user interface may also include a mission interface that includes a map interface and a mission selection interface for selecting routes the vehicle is to navigate. The user interface may additionally cause presentation of visual indicators that indicate the presence of an object that is not shown on the user interface, but that is moving in a direction such that the object will soon be visibly displayed on the user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium that generates path prediction data for agents in the vicinity of an autonomous vehicle using machine learning models. One method includes identifying an agent in a vicinity of an autonomous vehicle navigating an environment and determining that the agent is within a vicinity of a crossing zone, which can be marked or unmarked. In response to determining that the agent is within a vicinity of a crossing zone: (i) features of the agent and of the crossing zone can be obtained; (ii) a first input that includes the features can be processed using a first machine learning model that is configured to generate a first crossing prediction that characterizes future crossing behavior of the agent, and (iii) a predicted path for the agent for crossing the roadway can be determined from at least the first crossing prediction.

Abstract: The present invention relates to a method and device for estimating a distance to a target, and a unmanned aerial vehicle. The method is applicable to a unmanned aerial vehicle including a photographing device. The method includes: acquiring a current frame of image of the target captured by the photographing device; acquiring location information of the target according to the current frame of image, where the location information includes a height of the target and two-dimensional pixel coordinates of the target in the image; acquiring attitude information of the photographing device, where the attitude information includes a pitch angle of the photographing device; and acquiring a distance between the target and the unmanned aerial vehicle according to the location information of the target and the attitude information of the photographing device.

Abstract: A manual control system includes input devices to receive user inputs to control the system according to the user inputs when operated in a manual mode. The user input devices are movable between a first configuration to receive the user input by being physically manipulated by the user, and a second configuration in which the user input is not receivable.

Abstract: In one embodiment a transportation request specifying a pickup location is received. The transportation request is associated with an event to be attended by a subscriber to a transportation service. A start time of the event is determined. A data source associated with the event is monitored to detect whether the start time of the event has changed. A pickup time to pick up the subscriber for the event is determined wherein the pickup time is based at least in part on the start time of the event and the pickup location.

Abstract: A vehicle may include a camera configured to obtain an image of at least one surrounding vehicle; and a controller configured to determine object recognition data including at least one of full area data, wheel area data, and bumper area data of the surrounding vehicle from the image of the at least one surrounding vehicle, based on the object recognition data, to set a reference point in the at least one of the full area data, the wheel area data, and the bumper area data of the surrounding vehicle from the image of the surrounding vehicle, and to predict a driving speed of the surrounding vehicle based on a change in a position of the reference point.

Abstract: The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, retrieving, based on the location data associated with a user device, listing data associated with one or more parking spaces in a vicinity of the user device, and capturing image data that includes at least a portion of the one or more parking spaces. In some aspects, the process may further include steps for overlaying one or more graphical objects onto the image data, wherein the one or more graphical objects are based on the listing data associated with the one or more parking spaces. Systems and machine-readable media are also provided.

Abstract: Systems, assemblies, and methods for conveniently operating marine devices associated with a watercraft are provided herein. An example system includes a controller, a sensor module, and a marine device. The controller is configured to receive a user input indicating a desired action via the sensor module and transmit a signal to the marine device to cause the marine device to operate in a particular manner. The sensor module may include one or more motion sensors, and the controller may be configured to filter unintentional movement from the raw motion data sensed by the sensor module, such as due to movement of the watercraft floating on the surface of the water. Thus, the system may enable convenient and intuitive control over various marine devices associated with the watercraft.

Abstract: When a marker on a road is detected, an automated driving apparatus mounted on a vehicle determines whether to perform automated driving based on comparison between a relative movement log from the marker as a start point according to autonomous navigation and shape point data concerning a lane acquired from the most recent map data.

Abstract: An image processing apparatus includes one or more processors; and a memory, the memory storing instructions, which when executed by the one or more processors, cause the one or more processors to generate vertical direction distribution data indicating a frequency distribution of distance values with respect to a vertical direction of a range image, from the range image having distance values according to distance of a road surface in a plurality of captured images captured by a plurality of imaging parts; set a search range corresponding to a predetermined reference point in the vertical direction distribution data and extract a plurality of pixels from the search range; and detect a road surface, based on the plurality of extracted pixels.

Abstract: A display system for providing information display. The display system includes a display device, and control circuitry that controls the display device to display a gauge graphic including a scale for a vehicle parameter and a needle movable on the scale. The scale comprises a plurality of regions. The control circuitry further receives a first value of the vehicle parameter. The control circuitry further controls, based on a determination that the first value is between a first predetermined threshold and a second predetermined threshold, the display of a background color gradient on a first region of the plurality of regions based on the first value. The control circuitry further extends the background color gradient on a second region of the plurality of regions based on a determination that the first value exceeds the second predetermined threshold. The second region displays a solid color based on the background color gradient.

Abstract: A method for an autonomous vehicle includes: controlling at least one system of the vehicle by a host system; automatically collecting, by a memory device, data generated by the at least one system, where the data is collected by the memory device independently of control by the host system; and storing the data in the memory device.

Abstract: A traffic management system that assigns vehicles to lanes of a multi-lane road based on a measured driver comfort level (DCL) factor associated with each vehicle that reflects how comfortable the vehicle's driver is with shorter following distances at high speeds. An illustrative DCL may be defined as the square of the vehicle's velocity divided by the inter-vehicle spacing. By preventing high DCL drivers from mixing with low DCL drivers on the same lane, the system improves traffic flow and stability and reduces the likelihood of traffic jams. The system may obtain vehicle velocity and following distance data from vehicle sensors and use this data to calculate a vehicle's DCL. When a vehicle enters a roadway managed by the system, the system obtains the vehicle's DCL and transmit a message to the vehicle's navigation system to guide the vehicle to the desired lane.

Abstract: Provided are a vehicle, a vehicle motion state estimation apparatus, and a method for estimating a vehicle motion state capable of highly accurately estimating a state quantity of a bounce motion of a vehicle having a non-linear suspension characteristic. The vehicle motion state estimation apparatus in a vehicle, in which wheels and a vehicle body are coupled via a suspension, includes a bounce motion estimation unit that estimates and outputs a state quantity of a bounce motion of the vehicle based on traveling state information of the vehicle, and a correction value estimation unit that calculates a correction value to correct an output the bounce motion estimation unit. The correction value estimation unit calculates the correction value in consideration of a non-linear characteristic of the suspension.

Abstract: Embodiments of the disclosure provide a Light Detection and Ranging system. The system may include a light source configured to emit a light beam, a first apparatus configured to adjust the light beam and a second apparatus configured to adjust the light beam and receive the reflected light beam from a first rotatable mirror. The first apparatus may include the first rotatable mirror configured to receive and reflect the light beam, and a first actuator configured to rotate the first rotatable mirror. The second apparatus may include a second adjustable mirror configured to receive and propagate the light beam, a second actuator configured to adjust the second adjustable mirror, and a detector configured to receive the light beam reflected by the object. The first rotatable mirror is further configured to receive and reflect the light beam reflected by the object to the detector.