Abstract: A system and method that function to generate an updated vehicle state based on a previous vehicle state and a set of sensor measurements. The previous vehicle state can be selected from a set of redundant prior vehicle state candidates. The system and method can optionally detect and correct for sensor measurement faults or failures, prior to updating the vehicle state.

Abstract: The present disclosure discloses a video display method, apparatus and storage medium, and relates to the technical field of terminals. The video display method includes: displaying a mask layer over a currently displayed video, wherein the mask layer comprises a target interaction control; removing the mask layer in response to detecting an operation of a user on the target interaction control; and displaying another video in response to detecting a video switching operation of the user.

Abstract: Generally, the present disclosure is directed to systems and methods that include or otherwise leverage an iterative solver as part of optimizing a motion plan for an autonomous vehicle (AV). In particular, a scenario generator within a motion planning system can include a warm start generator configured to determine an initial trajectory that respects the dynamics of the autonomous vehicle and that closely tracks a speed profile determined by a constraint solver and one or more nominal paths determined by a route selector. A decision validator can analyze speed profiles and nominal paths to identify potential inconsistencies and validate a decision before optimization and execution. An initial trajectory can be further optimized by an iterative solver to determine an optimized trajectory for execution as a motion plan for the autonomous vehicle.

Abstract: Generally, the present disclosure is directed to systems and methods that include or otherwise leverage an iterative solver as part of optimizing a motion plan for an autonomous vehicle (AV). In particular, a scenario generator within a motion planning system can include a warm start generator configured to determine an initial trajectory that respects the dynamics of the autonomous vehicle and that closely tracks a speed profile determined by a constraint solver and one or more nominal paths determined by a route selector. A decision validator can analyze speed profiles and nominal paths to identify potential inconsistencies and validate a decision before optimization and execution. An initial trajectory can be further optimized by an iterative solver to determine an optimized trajectory for execution as a motion plan for the autonomous vehicle.

Abstract: Generally, the present disclosure is directed to systems and methods that include or otherwise leverage an iterative solver as part of optimizing a motion plan for an autonomous vehicle (AV). In particular, a scenario generator within a motion planning system can include a warm start generator configured to determine an initial trajectory that respects the dynamics of the autonomous vehicle and that closely tracks a speed profile determined by a constraint solver and one or more nominal paths determined by a route selector. A decision validator can analyze speed profiles and nominal paths to identify potential inconsistencies and validate a decision before optimization and execution. An initial trajectory can be further optimized by an iterative solver to determine an optimized trajectory for execution as a motion plan for the autonomous vehicle.

Abstract: A system and method that function to generate an updated vehicle state based on a previous vehicle state and a set of sensor measurements. The previous vehicle state can be selected from a set of redundant prior vehicle state candidates. The system and method can optionally detect and correct for sensor measurement faults or failures, prior to updating the vehicle state.

Abstract: A system and method that function to generate an updated vehicle state based on a previous vehicle state and a set of sensor measurements. The previous vehicle state can be selected from a set of redundant prior vehicle state candidates. The system and method can optionally detect and correct for sensor measurement faults or failures, prior to updating the vehicle state.

Abstract: A system and method that function to generate an updated vehicle state based on a previous vehicle state and a set of sensor measurements. The previous vehicle state can be selected from a set of redundant prior vehicle state candidates. The system and method can optionally detect and correct for sensor measurement faults or failures, prior to updating the vehicle state.

Abstract: Generally, the present disclosure is directed to systems and methods that include or otherwise leverage an iterative solver as part of optimizing a motion plan for an autonomous vehicle (AV). In particular, a scenario generator within a motion planning system can include a warm start generator configured to determine an initial trajectory that respects the dynamics of the autonomous vehicle and that closely tracks a speed profile determined by a constraint solver and one or more nominal paths determined by a route selector. A decision validator can analyze speed profiles and nominal paths to identify potential inconsistencies and validate a decision before optimization and execution. An initial trajectory can be further optimized by an iterative solver to determine an optimized trajectory for execution as a motion plan for the autonomous vehicle.

Abstract: A method for automated lane centering and/or lane changing purposes for a vehicle traveling on a roadway that employs roadway points from a map database to determine a reference vehicle path and sensors on the vehicle for detecting static and moving objects to adjust the reference path. The method includes reducing the curvature of the reference path to generate a reduced curvature reference path that reduces the turning requirements of the vehicle and setting the speed of the vehicle from posted roadway speeds from the map database. The method also includes providing multiple candidate vehicle paths and vehicle speeds to avoid the static and moving objects in front of the vehicle.

Abstract: A method for automated lane centering and/or lane changing purposes for a vehicle traveling on a roadway that employs roadway points from a map database to determine a reference vehicle path and sensors on the vehicle for detecting static and moving objects to adjust the reference path. The method includes reducing the curvature of the reference path to generate a reduced curvature reference path that reduces the turning requirements of the vehicle and setting the speed of the vehicle from posted roadway speeds from the map database. The method also includes providing multiple candidate vehicle paths and vehicle speeds to avoid the static and moving objects in front of the vehicle.