Abstract: An autonomous vehicle configured to perform a lane change maneuver is described herein. The autonomous vehicle includes several different types of sensor systems, such as image, lidar, radar, sonar, infrared, and GPS. The autonomous vehicle additionally includes a computing system that executes instructions on a lane change detection system and a control system. The lane change detection system includes a region of interest module and an object trajectory module for determining whether the autonomous vehicle will collide with another object if the autonomous vehicle maneuvers into an adjacent lane. An instruction module of the lane change detection system is further used to facilitate operational control of a mechanical system of the autonomous vehicle, such as an engine or a steering system.

Abstract: Systems and method are provided for controlling a vehicle. The systems and methods calculate lane plan data including a set of lane plans defining a route from a start location to a destination location, solve a motion planning algorithm to produce solved lane plan data defining a solved lane plan and a trajectory therefor, receive forthcoming distance data representing a forthcoming distance, determine a feasible lane based on the solved lane plan data within the forthcoming distance, remove a lane plan from the lane plan data to produce feasible lane plan data including a feasible lane plan defining a route from the start location to the destination location, and control motion of the vehicle based on the feasible lane plan data.

Abstract: In one embodiment, a method for selecting a parking location for an autonomous vehicle includes: obtaining data pertaining to a current ride of the autonomous vehicle during operation of the autonomous vehicle; determining, by a processor using the data, when the autonomous vehicle is proximate a destination; and, when the autonomous vehicle is proximate the destination: identifying, by the processor using the data, a plurality of potential parking locations proximate the destination; calculating, by the processor using the data, a respective score for each of the potential parking locations using a plurality of factors; and selecting, by the processor using the data, a selected parking location of the potential parking locations based on the respective score of each of the potential parking locations.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: monitoring a health of the vehicle; generating a first driving plan; generating a second driving plan configured to bring the vehicle to a stop at a predetermined rate; commanding the vehicle to execute the first driving plan in response to the health of the vehicle staying above a predetermined health threshold; and commanding the vehicle to execute the second driving plan in response to the health of the vehicle falling below the predetermined health threshold.

Abstract: In one embodiment, a method for selecting a parking location for an autonomous vehicle includes: obtaining data pertaining to a current ride of the autonomous vehicle during operation of the autonomous vehicle; determining, by a processor using the data, when the autonomous vehicle is proximate a destination; and, when the autonomous vehicle is proximate the destination: identifying, by the processor using the data, a plurality of potential parking locations proximate the destination; calculating, by the processor using the data, a respective score for each of the potential parking locations using a plurality of factors; and selecting, by the processor using the data, a selected parking location of the potential parking locations based on the respective score of each of the potential parking locations.

Abstract: Systems and method are provided for controlling a vehicle. The systems and methods calculate lane plan data including a set of lane plans defining a route from a start location to a destination location, solve a motion planning algorithm to produce solved lane plan data defining a solved lane plan and a trajectory therefor, receive forthcoming distance data representing a forthcoming distance, determine a feasible lane based on the solved lane plan data within the forthcoming distance, remove a lane plan from the lane plan data to produce feasible lane plan data including a feasible lane plan defining a route from the start location to the destination location, and control motion of the vehicle based on the feasible lane plan data.

Abstract: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data associated with an environment of a first autonomous vehicle; determining, by a processor, lane health information based on the sensor data; and selectively controlling, by a processor, a second autonomous vehicle based on the lane health information.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: identifying, by a processor, at least one keep clear zone having a beginning and an ending within a roadway; determining, by a processor, if a speed of the vehicle is expected to be below a threshold when a position of the vehicle is expected to be within the keep clear zone; creating, by a processor, a stop point associated with the keep clear zone based on the determining; generating, by a processor, advice to a path planner based on the stop point; generating, by a processor, a path plan based on the stop point; and controlling, by a processor, the vehicle based on the path plan.