Abstract: Systems and methods are disclosed for motion forecasting and planning for autonomous vehicles. For example, a plurality of future traffic scenarios are determined by modeling a joint distribution of actor trajectories for a plurality of actors, as opposed to an approach that models actors individually. As another example, a diversity objective is evaluated that rewards sampling of the future traffic scenarios that require distinct reactions from the autonomous vehicle. An estimated probability for the plurality of future traffic scenarios can be determined and used to generate a contingency plan for motion of the autonomous vehicle. The contingency plan can include at least one initial short-term trajectory intended for immediate action of the AV and a plurality of subsequent long-term trajectories associated with the plurality of future traffic scenarios.

Abstract: A landing gear system controller for controlling a landing gear system of an aircraft. The controller is configured to receive a request to operate a non-landing gear system element of the aircraft, and to cause operation of at least part of the landing gear system of the aircraft during a take-off or landing procedure on the basis of the request.

Abstract: A self-contained integrated portable vehicle tracking system that does not comprise any wired connection to any device or location external to the container unit is disclosed. The tracking system comprises a microcontroller unit (MCU); a GPS receiver in communication with said MCU; a GPS patch antenna connected to said MCU; a wireless transceiver in communication with said MCU; a power source comprising a solar cell; and a power management system. In addition, a method for determining the position of a moving vehicle with high accuracy is disclosed. Unlike methods known in the art, the method disclosed herein does not require the use of an inertial navigation system or continuous operation of a GPS. The method comprises determining the velocity of the moving object from a determination of its speed and angular velocity and correlating the signals obtained from the velocity sensors with a map data layer.

Abstract: Described herein are technologies relating to controlling an autonomous vehicle based upon a computed lane boundary. The computed lane boundary defines a travel path for the autonomous vehicle when the autonomous vehicle turns across a lane of traffic at an intersection of two or more roadways. The autonomous vehicle navigates turn based upon the computed lane boundary, which allows the autonomous vehicle to enter the intersection without crossing into a lane of oncoming traffic.

Abstract: Systems, methods, and computer-readable media are disclosed for optimized driver seat and pedal positioning using ulna length. An example method may include determining, at a first time and using a sensor of a vehicle, an ulna length of a vehicle user. The example method may also include automatically adjusting a seating position of the vehicle user to a first seating position based on the ulna length of the vehicle user.

Abstract: A vehicle travel control apparatus configured to control a traveling operation of a vehicle including an actuator for traveling, including a first sensor mounted on the vehicle to capture an image of a division line in a traveling direction of the vehicle or measure the division line, a second sensor mounted on the vehicle to detect a movement of a preceding vehicle, and an electronic control unit including a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform controlling the actuator based on a position information of the division line obtained by the first sensor and a reliability with respect to the position information of the division line obtained by the first sensor, and the controlling including decreasing the reliability when a predetermined movement of the preceding vehicle to intersect the division line is detected by the second sensor.