Systems, methods, and apparatus to control aircraft roll operations are disclosed herein. An example system includes a control wheel position determiner to determine a control wheel position based on an input from a control wheel of the aircraft, a control wheel force determiner to determine a first control wheel force based on a sensor measurement, and a spoiler controller to map the control wheel position to a second control wheel force, the second control wheel force based on nominal characteristics of the aircraft, determine a first difference between the first control wheel force and the second control wheel force, and in response to determining that the first difference does not satisfy a threshold, move a flight control surface based on a third control wheel force, the third control wheel force based on a second difference between the first difference and the threshold.

An electric vehicle (EV) is charged according to a selected charging rate. An available dispatch time is determined based on a current charge level of a battery of the EV, a first charging rate, and a target charge level. An anticipated dispatch time is determined based on predicted demand for a fleet of EVs that includes the EV. If the available dispatch time is later than the anticipated dispatch time, the first charging rate is selected; if the available dispatch time is earlier than the anticipated dispatch time, a second charging rate that is lower than the first charging rate is selected. The second charging rate may be a rate that charges the battery of the EV to at least the target charge level in time for the anticipated dispatch time.

Systems, methods, and computer-readable media storing instructions for determining cross-track error of an aircraft on a taxiway are disclosed herein. The disclosed techniques capture electronic images of a portion of the taxiway using cameras or other electronic imaging devices mounted on the aircraft, pre-process the electronic images to generate regularized image data, apply a trained multichannel neural network model to the regularized image data to generate a preliminary estimate of cross-track error relative to the centerline of the taxiway, and post-process the preliminary estimate to generate an estimate of cross-track error of the aircraft. Further embodiments adjust a GPS-based location estimate of the aircraft using the estimate of cross-track error or adjust the heading of the aircraft based upon the estimate of cross-track error.

An aircraft includes at least one line replaceable unit (LRU) configured to determine, based on initial data collected prior to a takeoff roll of the aircraft, a takeoff rotation speed of the aircraft and a rotation time associated with the takeoff rotation speed. The LRU is configured to determine, during the takeoff roll and prior to the rotation time, a predicted speed of the aircraft at the rotation time. The predicted speed is at least partially based on data collected during the takeoff roll. The LRU is also configured to determine whether an alert condition is satisfied at least partially based on whether a disparity between the takeoff rotation speed and the predicted speed exceeds a rotation speed disparity threshold and to generate a takeoff performance alert in response to the alert condition being satisfied.

Example implementations relate to autonomous airport runway navigation. An example system includes a first sensor and a second sensor coupled to an aircraft at a first location and a second location, respectively, and a computing system configured to receive sensor data from one or both of the first sensor and the second sensor to detect airport markings positioned proximate a runway. The computing system is further configured to identify a centerline of the runway based on the airport markings and receive sensor data from both of the first sensor and the second sensor to determine a lateral displacement that represents a distance between a reference point of the aircraft and the centerline of the runway. The computing system is further configured to control instructions that indicate adjustments for aligning the reference point of the aircraft with the centerline of the runway during subsequent navigation of the aircraft.

An aircraft includes an airframe having an aircraft longitudinal axis and a main rotor system supported by the airframe. The main rotor system is rotatable about an axis of rotation. The airframe is tiltable relative to a ground surface to form a non-zero tilt angle between the aircraft longitudinal axis and the ground surface.

Embodiments are disclosed for a machine and process that include a computer code specially programmed for creating a runway extension speed for an aircraft taking off. The process may include sensing current location, current acceleration, and current speed, for the aircraft during takeoff roll; receiving, in a ROTTOWIRE, the current speed and the current acceleration for the aircraft; creating in the ROTTOWIRE an actual speed profile; creating, using a specially coded program in the ROTTOWIRE and the current acceleration, the runway extension speed via determining, for a current location of the aircraft, a distance from a departure end of the runway and a terminating distance required to terminate the takeoff to a stop of the aircraft on the runway, a distance until the aircraft reaches a designated height; and when the terminating distance equals the distance from the departure end of the runway; and presenting the runway extension speed.

In various examples, live perception from sensors of a vehicle may be leveraged to generate potential paths for the vehicle to navigate an intersection in real-time or near real-time. For example, a deep neural network (DNN) may be trained to compute various outputssuch as heat maps corresponding to key points associated with the intersection, vector fields corresponding to directionality, heading, and offsets with respect to lanes, intensity maps corresponding to widths of lanes, and/or classifications corresponding to line segments of the intersection. The outputs may be decoded and/or otherwise post-processed to reconstruct an intersectionor key points corresponding theretoand to determine proposed or potential paths for navigating the vehicle through the intersection.

Provided are airplane trim systems and methods of controlling such systems. These systems utilize smaller portions of the stabilizer total travel range for takeoff trims, in comparison to other trim systems. A trim system described includes stabilizer and elevator, and these components are used together to achieved a takeoff total tail pitching moment. The elevator or, at least a portion of the elevator operating range, is available for flight control. As such, takeoff trim settings include stabilizer and elevator orientation settings. Addition of the elevator to control the takeoff tail pitching moment allows reducing the stabilizer total travel. The elevator orientation can be changed much faster than that of the stabilizer providing pilot more control.

An aircraft includes a wing. The wing includes an aileron pivotally connected to a trailing edge of the wing, and a Lam aileron pivotally connected to the trailing edge of the wing. The aircraft includes a motor connected to the Lam aileron and configured to rotate the Lam aileron. The aircraft includes a controller configured to detect a deflection of the aileron from a neutral position, calculate a target deflection for the Lam aileron using the deflection of the aileron, and cause the motor to rotate the Lam aileron to the target deflection.