Abstract: A display device includes a substrate, a semiconductor layer disposed on the substrate, and including a first channel portion, a second channel portion, a connecting portion disposed between the first channel portion and the second channel portion, and electrode regions, a first insulating layer disposed on the semiconductor layer, a gate conductor disposed on the first insulating layer and including a first gate electrode overlapping the first channel portion and a second gate electrode overlapping the second channel portion, signal lines disposed on the substrate, a first electrode electrically connected to at least one of electrode regions of the semiconductor layer, an emission layer disposed on the first electrode, and a second electrode disposed on the emission layer, and the first channel portion and the second channel portion of the semiconductor layer each have a first width greater than a second width of the connecting portion.

Abstract: A computer-implemented method for detecting one or more three-dimensional structures in a proximity of a vehicle at runtime includes generating, by a processor, a birds-eye-view (BEV) camera image of the proximity of the vehicle, the BEV camera image comprising two-dimensional coordinates of one or more structures in the proximity. The method further includes generating, by the processor, a BEV height image of the proximity of the vehicle, the BEV height image providing height of the one or more structures in the proximity. The method further includes detecting one or more edges of the three-dimensional structures based on the BEV camera image and the BEV height image. The method further includes generating models of the three-dimensional structures by plane-fitting based on the edges of the one or more three-dimensional structures. The method further includes reconfiguring a navigation system receiver based on the models of the three-dimensional structures.

Abstract: Systems and methods are provided for generating a map for use in controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, aerial image data depicting an environment; processing, by the processor, the aerial image data with a plurality of trained deep learning models to produce a predicted radar map; and controlling the vehicle based on the predicted radar map.

Abstract: A computer-implemented method for detecting one or more three-dimensional structures in a proximity of a vehicle at runtime includes generating, by a processor, a birds-eye-view (BEV) camera image of the proximity of the vehicle, the BEV camera image comprising two-dimensional coordinates of one or more structures in the proximity. The method further includes generating, by the processor, a BEV height image of the proximity of the vehicle, the BEV height image providing height of the one or more structures in the proximity. The method further includes detecting one or more edges of the three-dimensional structures based on the BEV camera image and the BEV height image. The method further includes generating models of the three-dimensional structures by plane-fitting based on the edges of the one or more three-dimensional structures. The method further includes reconfiguring a navigation system receiver based on the models of the three-dimensional structures.

Abstract: Systems and methods are provided for localizing a vehicle. In one embodiment, a method includes: receiving, by a processor, radar data from a radar of the vehicle; creating, by the processor, a local map based on the radar data; retrieving, by the processor, a map of an environment from a datastore based on a predicted vehicle pose; correlating, by the processor, the local map and the retrieved map; determining, by the processor, a localized vehicle pose based on the correlating; and controlling, by the processor, the vehicle based on the localized vehicle pose.

Abstract: Systems and methods are provided for generating a map for use in controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, aerial image data depicting an environment; processing, by the processor, the aerial image data with a plurality of trained deep learning models to produce a predicted radar map; and controlling the vehicle based on the predicted radar map.

Abstract: Systems and methods are provided for localizing a vehicle. In one embodiment, a method includes: receiving, by a processor, radar data from a radar of the vehicle; creating, by the processor, a local map based on the radar data; retrieving, by the processor, a map of an environment from a datastore based on a predicted vehicle pose; correlating, by the processor, the local map and the retrieved map; determining, by the processor, a localized vehicle pose based on the correlating; and controlling, by the processor, the vehicle based on the localized vehicle pose.

Abstract: An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator. The first controller is configured to communicate an actuator control signal based on a primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal deviating from a desired route by a threshold distance, control the actuator to maintain a current actuator setting. The second controller is also configured to, in response to the first predicted vehicle path not deviating from the desired route by the threshold distance, control the actuator according to the actuator control signal.

Abstract: An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator. The first controller is programmed with a primary automated driving system control algorithm and is configured to communicate an actuator control signal based on the primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal deviating from a current lane, control the actuator to maintain a current actuator setting. The second controller is also configured to, in response to the first predicted vehicle path being within the current lane, control the actuator according to the actuator control signal.

Abstract: An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator. The first controller is programmed with a primary automated driving system control algorithm and is configured to communicate an actuator control signal based on the primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal deviating from a current lane, control the actuator to maintain a current actuator setting. The second controller is also configured to, in response to the first predicted vehicle path being within the current lane, control the actuator according to the actuator control signal.

Abstract: An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator. The first controller is configured to communicate an actuator control signal based on a primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal deviating from a desired route by a threshold distance, control the actuator to maintain a current actuator setting. The second controller is also configured to, in response to the first predicted vehicle path not deviating from the desired route by the threshold distance, control the actuator according to the actuator control signal.

Abstract: An automotive vehicle includes a vehicle steering system, an actuator configured to control the steering system, and first and second controllers. The first controller is in communication with the actuator, and is configured to communicate an actuator control signal based on a primary automated driving system control algorithm. The second controller is in communication with the actuator and with the first controller. The second controller is configured to, in response to a first predicted vehicle path based on the actuator control signal passing within a first threshold distance of a detected obstacle, control the actuator to maintain a current actuator setting. The second controller is also configured to in response to the first predicted vehicle path not passing within the first threshold distance of a detected obstacle, control the actuator according to the actuator control signal.

Abstract: An automotive vehicle a vehicle steering system, an actuator configured to control the steering system, a first controller, and a second controller. The first controller is in communication with the actuator, and the second controller is in communication with the actuator and with the first controller. The first controller is configured to communicate an actuator control signal based on a primary automated driving system control algorithm. The actuator control signal includes a commanded actuator setting. The second controller is configured to, in response to a first condition being satisfied, control the actuator according to the actuator control signal. The second controller is also configured to, in response to a second condition being satisfied, control the actuator according to a modified actuator control signal. The modified actuator control signal corresponds to an intermediate actuator setting between the commanded actuator setting and a current actuator setting.

Abstract: Methods and systems are provided for aligning a steering system of a vehicle. In one embodiment, a method includes: determining when the vehicle is driving a straight-line path; determining a steering wheel position error when the vehicle is driving the straight-line path; computing a rear wheel steering offset based on the steering wheel position error and a closed loop control method; and generating a control signal to a rear wheel steering system based on the rear wheel steering offset.

Abstract: Methods and systems are provided for aligning a steering system of a vehicle. In one embodiment, a method includes: determining when the vehicle is driving a straight-line path; determining a steering wheel position error when the vehicle is driving the straight-line path; computing a rear wheel steering offset based on the steering wheel position error and a closed loop control method; and generating a control signal to a rear wheel steering system based on the rear wheel steering offset.

Abstract: Methods and systems are provided for aligning a steering system of a vehicle. In one embodiment, a method includes: determining when the vehicle is driving a straight-line path; determining a steering wheel position error when the vehicle is driving the straight-line path; computing a rear wheel steering offset based on the steering wheel position error; and generating a control signal to a rear wheel steering system based on the rear wheel steering offset.