Gm Global Technolgoy Operations, Inc.

Other

Paul A Adam

Tetyana V Mamchuk

Jeffrey S Parks

Gabriel T Choi

Reza Zarringhalam

Dmitriy Feldman

Namal P Kumara

Christopher Michael Churay

Xiaofeng Frank Song

Braden J Swantick

Mohammadali Shahriari

Amir Takhmar

Xuefei Yang

Robert Charles Baraszu

Brian M Porto

William Lawrence Kozlowski

Shaun C Bowman

Kevin K Hoang

Kevin P Houle

Xian Zhang

Kathryn E Mulligan

Harsh Ketan Patel

Joseph M Burdge

Namai P Kumara

Kevin Austin O'Dea

Andrew M Zettel

Ashraf Abualfellat

Daryl A Wilson

Michael Jay Abowd

Christopher J Trush

Milad Jalaliyazdi

Zhi Li

Tushita Arun Sikder

Jayant Sachdev

Alaeddin Bani Milhim

Gurhari Singh

Yadollah Sabri

Mark Gazda

Shih-Ying Sheu

Donovan J Wisner

Joseph R Abrash

Jimmy Zhong Yan Lu

Michael J Godfrey

Li Ji

Assaad Krichene

Benjamin T Llewellyn

Wenhao Wu

Mehmet Emin Inan

Lance A Smith

Riley Stroven

A system for controlling lateral positioning in a host vehicle includes a controller having a processor and tangible, non-transitory memory. The host vehicle is located on a host lane defined by a host lane center. The controller is adapted to determine if a first and second enabling condition are met. The first enabling condition is met when the host vehicle is travelling on a non-divided road having no physical barrier separating respective traffic lanes travelling in opposing directions. The second enabling condition is met when the host lane is an inner most lane adjacent to an opposing traffic lane. When the first and second enabling conditions are both met, the controller is adapted to determine a non-divided road offset relative to the host lane center in real-time. Operation of the vehicle is controlled based in part on a magnitude, and a direction of the non-divided road offset.

Vehicle lateral positioning on a non-divided road

A system for controlling lateral positioning in a host vehicle. The system includes a controller adapted to identify targets surrounding a planned path with at least one distance sensor on the host vehicle and determine at least one attribute for each of the targets. The controller is also adapted to determine a lane quality along the planned path with at least one optical sensor on the host vehicle and determine a first target point and a second target point based at least one on the attributes of the targets when the lane quality has degraded below a predetermined threshold. Furthermore, the controller is adapted to calculate a follow trajectory for the host vehicle based on the first and second target points and direct the host vehicle along the follow trajectory when a lane marker identification distance is less than a minimum look ahead distance for the host vehicle.

System and method for positioning a vehicle in a lane

Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves a controller associated with a vehicle identifying a visual attention state associated with a driver of the vehicle based at least in part on output of an imaging device onboard the vehicle, determining, based at least in part on the visual attention state, a driver lane preference corresponding to an adjacent lane in a visual attention direction relative to a current lane of travel for the vehicle, adjusting a priority associated with the adjacent lane corresponding to the driver lane preference and autonomously operating one or more actuators onboard the vehicle to initiate maneuvering the vehicle from the current lane in a manner that is influenced by the adjusted priority associated with the adjacent lane.

Vehicle systems and methods for autonomous operation using driver attention

Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves determining a current value for a range of view associated with a sensing device onboard the vehicle, determining a target value for the range of view based at least in part on a speed of the vehicle, and in response to determining the current value is less than the target value, determining a dropback adjustment distance based at least in part on a difference between target value for the range of view and an estimated distance to a closest in path (CIP) vehicle ahead of the vehicle within a current lane of travel, determining a longitudinal trajectory for the vehicle based at least in part on the dropback adjustment distance, and autonomously operating one or more actuators onboard the vehicle in accordance with the longitudinal trajectory.

Vehicle systems and related methods to autonomously increase camera range

Methods and systems are provided for controlling a vehicle. In one embodiment, a method includes: determining, by a processor, that a lane centering feature is active in the vehicle; identifying, by the processor, a pattern of steering wheel torque; determining, by the processor, a driver requested offset based on a location of the vehicle and a location of a center of the lane; applying, by the processor, the driver requested offset to a planned trajectory of the vehicle; evaluating, by the processor, one or more duration conditions; and in response to the evaluating, selectively generating, by the processor, a control signal based on the planned trajectory with the driver requested offset.

Systems and methods for employing driver input for adapting path planning in lane centering applications

Methods and systems of controlling a vehicle. The methods and systems include switching to a second processor executed mode in response to determining that a range of perception information extends to a range end point that is closer to the vehicle than a first Look Ahead (LA) point. In the second processor executed mode: a motion planner requests a lateral controller to provide a closer LA point relative to the vehicle. The lateral controller determines the closer LA point and sends the closer LA point to the motion planner. The lateral controller generates control commands for an EPS system based on an error between a desired trajectory and an actual trajectory at the closer LA point. The motion planner generates the desired trajectory based on perception data and the closer LA point.

Methods and systems for vehicle control under degraded lane perception range

A method for lane centering control of a host vehicle that is towing a trailer includes: determining in real time, by a controller of the host vehicle, a radius of curvature of a turn, wherein the host vehicle is approaching the turn; determining, by the controller, a trailer required offset based on the radius of the curvature of the turn to maintain the host vehicle and the trailer in a lane while the host vehicle and the trailer move along the turn; and controlling the host vehicle using the trailer offset to maintain the host vehicle and the trailer in a lane while the host vehicle and the trailer move along the turn. The method also allows the host vehicle to avoid encroaching vehicles.

Method and systems for systematic trailer position planning and control

Vehicles and related systems and methods are provided for controlling a vehicle in an autonomous operating mode. One method involves identifying one or more avoidance zones in a vicinity of the vehicle, determining a deadline for completing a lateral maneuver to avoid a priority avoidance zone of the one or more avoidance zones, obtaining an initial reference lateral trajectory for the lateral maneuver based at least in part on the deadline, autonomously operating one or more actuators onboard the vehicle in accordance with the initial reference lateral trajectory, and thereafter obtaining one or more updated reference lateral trajectories for the vehicle, wherein the one or more actuators onboard the vehicle are autonomously operated in accordance with the one or more updated reference lateral trajectories in lieu of the initial reference lateral trajectory.

Vehicle systems and related methods of dynamic path construction

A method for controlling operation of a motor vehicle includes an electronic controller receiving, e.g., from a vehicle-mounted sensor array, sensor data with dynamics information for a target vehicle and, using the received sensor data, predicting a lane assignment for the target vehicle on a road segment proximate the host vehicle. The electronic controller also receives map data with roadway information for the road segment; the controller fuses the sensor and map data to construct a polynomial overlay for a host lane of the road segment across which travels the host vehicle. A piecewise linearized road map of the host lane is constructed and combined with the predicted lane assignment and polynomial overlay to calculate a lane assignment for the target vehicle. The controller then transmits one or more command signals to a resident vehicle system to execute one or more control operations using the target vehicle's calculated lane assignment.

Automated driving systems and control logic for lane localization of target objects in mapped environments

In an exemplary embodiment, a vehicle system is provided that includes a sensor array and a processor. The sensor array is configured to generate vehicle sensor data pertaining to a target vehicle in proximity to the vehicle. The processor is coupled to the sensor array, and is configured to at least facilitate: beginning an overtake maneuver for the vehicle, via instructions provided to the drive system, when conditions for an overtake of the target vehicle by the vehicle are initially determined by the processor to be valid; subsequent to the beginning of the overtake maneuver, determining via the processor whether the conditions for the overtake of the target vehicle are still valid, based on updated sensor data reflecting variant traffic conditions; and further controlling the overtake maneuver based on the determining as to whether the conditions for the overtake of the target vehicle are still valid.

Method for completing overtake maneuvers in variant traffic conditions

A system and method of detecting and mitigating an erratic vehicle by a host vehicle. The method includes gathering sensor information on a calibratable external region surrounding the host vehicle; analyzing the sensor information to detect a target vehicle traveling in a lane and a movement of the target vehicle in the lane; determining whether the movement of the target vehicle in the lane is erratic; if erratic then designating target vehicle as erratic vehicle; assigning a risk score to the erratic vehicle; and implementing a predetermined mitigating action correlating to the assigned risk score to the erratic vehicle. The mitigating action includes one or more of: warning an operator of the host vehicle, warning a vehicle proximal to the host vehicle, and taking at least partial control of the host vehicle to further distance the host vehicle apart from the erratic vehicle.

System and method of detecting and mitigating erratic on-road vehicles

A control system for a vehicle using a forward-facing camera includes a look ahead module configured to determine a distance to a look ahead point. A lane center module determines a location of a lane center line. A vehicle center line module determines a location of a vehicle center line. A first lateral offset module determines a first lateral offset based on the look ahead point and the determined lane center line. A second lateral offset module determines a second lateral offset based on the determined lane center line and the vehicle center line. A yaw angle offset calculating module receives the first lateral offset, the second lateral offset and the distance to the look ahead point, calculates a yaw angle offset, and compensates a yaw angle error based on the yaw angle offset.

Systems and methods for detecting and compensating camera yaw angle offset for autonomous vehicles

In accordance with an exemplary embodiment, methods and systems are provided for controlling automatic overtake functionality for a host vehicle. In on such exemplary embodiment, a disclosed method includes: (i) obtaining, via a plurality of sensors, sensor data pertaining to the host vehicle and a roadway on which the host vehicle is traveling; (ii) determining, via a processor, when an automatic overtake is recommended, using the sensor data in conjunction with one or more threshold values; (iii) receiving driver inputs pertaining to the automatic overtake; and (iv) adjusting, via the processor, the one or more threshold values for the automatic overtake based on the driver inputs.

Method and system to adapt overtake decision and scheduling based on driver assertions

An operator offset request for automatic lane following system of an automobile vehicle includes an operator offset request defining a lateral offset distance away from a first travel-line of an automobile vehicle in a displacement path moved until a second travel-line of the automobile is achieved. An operator input setting system when actuated generates an initiation signal forwarded to a controller to input the operator offset request. An achievement signal is generated to signify a selected offset position selected by a vehicle operator for the offset distance is achieved. A vehicle return travel path is elected by the vehicle operator to return the automobile vehicle to the first travel-line from the second travel-line by a return displacement path which is opposite to the displacement path.

Driver offset request for automated lane following

In various embodiments, methods, systems, and vehicle apparatuses are provided. A method for implementing a lane-keeping assist unit of a vehicle by receiving information of a plurality of road geometries, and driving scenarios wherein at least one driving scenario is combined with a target path that is parallel and biased from a lane center by a desired path offset, and a reference path for guiding the vehicle to merge with the target path; adapting the reference path with control based on a selected road geometry and driving scenario; adjusting the desired path offset by considering lane markings during an intervention for an inner curve, an outer curve and a straight road; controlling the vehicle trajectory for enabling the vehicle to track the reference path; exiting the intervention once a trajectory tracking performance by the vehicle is confirmed; and aborting once an instability of the trajectory tracking performance is confirmed.

Methods, systems, and apparatuses for scenario-based path and intervention adaptation for lane-keeping assist systems

Growing community of inventors

Milford, MI, United States of America

Paul A Adam