Abstract: Methods for manufacturing three-dimensional objects using an additive manufacturing technique, methods for forming dye-infused feed material for an additive manufacturing technique, and vehicles including additive manufactured components are provided. An exemplary method for manufacturing a three-dimensional object using an additive manufacturing technique includes solubilizing a dye into a medium in the form of a supercritical fluid and contacting a feed material with the medium to infuse the dye into the feed material to form dye-infused feed material. The method further includes locally melting the dye-infused feed material in selected regions of a layer corresponding to a cross-section of a three-dimensional object being formed and solidifying the dye-infused feed material into a solid layer of dye-infused material. Further, the method includes repeating the local melting and solidifying steps to form the three-dimensional object made up of a plurality of solid layers of dye-infused material.

Abstract: A system for enhancing occupant awareness for a vehicle includes a camera system for capturing images of an environment surrounding the vehicle, a display for displaying information to the occupant of the vehicle and a controller in electrical communication with the camera system and the display. The controller is programmed to determine an activation state of the system. The controller is further programmed to capture an image of the environment surrounding the vehicle using the camera system in response to determining that the activation state is the activated state. The image has a first portion and a second portion. The first portion of the image includes a trailer connected to the vehicle and the second portion of the image. The controller is further programmed to display the second portion of the image to the occupant using the display based at least in part on the first portion of the image.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to receive sensor data including wheel speed measurements, suspension displacement measurements, and tire leak detection data from a vehicle, estimate a rough road measurement based on a deviation of a wheel speed with respect to an average wheel speed and or based on suspension displacement sensor signals and generate temporal spatial map data indicative of a location and a roughness severity metric of a roadway portion based on the rough road measurement and tire leak detection data.

Abstract: A system for unsupervised radar calibration of a vehicle is contemplated. The system may include a radar having a plurality of antennas configured to transmit radar signals and responsively receive reflected signals. The system may further include a calibration controller configured to determine a plurality of detections from the reflected signals corresponding with unsupervised objects in the vicinity of the vehicle, and based on the detections, to generate a calibration matrix sufficient for calibrating the radar.

Abstract: Characterizing notification distinctiveness for a finite-system machine (FSM) modeled system based on distinctiveness ratings generated for state transitions of the FSM-modeled system. The distinctiveness ratings may be operable for comparatively quantifying relative distinctiveness for notifications used to provide feedback for state transitions. The distinctiveness ratings may be generated to comparatively quantify relative distinctiveness between notifications of a transitioned-from and a transitioned-to state of the state transition associated therewith.

Abstract: Systems and methods for determining metrics for construction zone detection and evaluating the performance of construction zone detection. A construction zone can be manually labeled, and the human labels are converted to a format that can be input to a neural network. The neural network input represents polygons indicating the construction zone, as well as various construction zone objects. When an AV drives to the construction zone, the AV detects the construction zone objects and generates a predicted construction zone, including, for example, predicted edges. The predicted connectivity of the construction zone objects is evaluated to determine accuracy of the detected construction zone.

Abstract: A method of operating an autonomous vehicle. The method includes collecting user data regarding a user of the autonomous vehicle and analyzing the user data to assign a pickup score to the user for determining when to relocate the autonomous vehicle from a first parking location. The autonomous vehicle is directed to relocate from the first parking location when the pickup score exceeds a predetermined threshold. A second parking location and a parking position are determined for the autonomous vehicle at a pickup location based on the user data when relocating the autonomous vehicle to pick up the user.

Abstract: A system for assisting a vehicle having a trailer includes a drone having at least one sensor adapted to collect sensor data. The drone is selectively attachable to the vehicle. A controller is in communication with the drone. The controller is adapted to selectively execute an assessment mode, an operational mode, and a delivery mode, the operational mode being executed after the assessment mode is completed. The drone is adapted to conduct a set of initial checks during the assessment mode, the drone being adapted to fly around the trailer and/or the vehicle during the assessment mode. The drone is attached to the vehicle during the operational mode. The delivery mode is executed upon arrival of the vehicle at a predefined destination, the drone being adapted to be in flight during the delivery mode.

Abstract: A method of planning a path for a vehicle. The method includes receiving perception images of an area surrounding the vehicle with at least one sensor and detecting at least one perception task from the perception images with the at least one perception task identifying at least one neighboring vehicle. The method calculates a risk factor for the at least one neighboring vehicle by recognizing a behavior of the at least one neighboring vehicle from the perception images and plans the path for the vehicle based on the at least one perception task and the risk factor. The path is then executed for the vehicle.

Abstract: A control system for a rotary electric machine includes an inverter including a plurality of power switches, a heat exchanger, first temperature sensors arranged to monitor the power switches, a second temperature sensor arranged to monitor the heat exchanger, and a controller. An expected power loss is determined based upon electric current, switching functions, and electrical characteristics of the power switches. A plurality of power capacity terms are determined based upon the expected power loss in the inverter, the temperatures of the power switches, and the temperature of the heat exchanger. The inverter is controlled based upon the aforementioned power capacities.

Abstract: A method of selecting a parking spot for an autonomous vehicle. The method includes receiving a parking request to park the autonomous vehicle at a parking infrastructure and determining a parking priority for the autonomous vehicle. A parking space is assigned for the autonomous vehicle from a pool of available parking spaces based on the parking priority determined for the autonomous vehicle. A departure status of the autonomous vehicle is monitored to determine if the autonomous vehicle is leaving the parking space. The parking space is associated with the pool of available parking spaces based on the departure status of the autonomous vehicle changing to leaving the parking space.

Abstract: Machine learning models for controlling AV operations may be evaluated based on sliced data. A feature category critical for an environmental condition may be identified. The environmental condition is a condition in an environment where an AV performs an operation. A sub-dataset, which comprises sensor data capturing the environmental feature dataset, may be extracted from a dataset that comprises sensor data capturing the environment. The sub-dataset may be input into machine learning models that can classify the feature category. Performances of the machine learning models can be evaluated based on their outputs, which are generated based on the sub-dataset, and a ground-truth classification of the environmental feature. The output of each machine learning model comprises a classification of the environmental feature. A machine learning model may be selected based on the evaluated performances of the machine learning models and may be used to control driverless operations of AVs.

Abstract: A volunteering platform facilitates voluntary activities associated with AV rides. The platform may receive a request for AV service from a first user and an offer to assist other users from a second user. The platform may determine whether an assistance to be provided by the second user can facilitate the service to be received by the first user. After determining that the assistance to be provided by the second user can facilitate the service to be received by the first user, the platform may pair the first user with the second user. The platform may select an AV from a fleet of AVs to serve the request from the first user with the assistance from the second user. The platform may plan an operation of the AV based on the request from the first user and the offer from the second user. The platform can dispatch the AV.

Abstract: Systems and methods for providing vehicle information to operators and service people without the use of a tool enabling communication directly between the vehicle and the operator or service person. In particular, systems and methods are provided for receiving a vehicle data request from an operator mobile device application, identifying a vehicle in close proximity to the operator mobile device, obtaining most recent vehicle data, and transmitting the requested vehicle data to the operator mobile device. Additionally, systems and methods are provided for the operator to request various capabilities with respect to the vehicles, such as vehicle access.

Abstract: Multimode messaging of the type suitable for use in communicating a plurality of datasets to a vehicle, a telematics unit, and/or another device. The multimode message may be facilitated with a hybrid platform having a plurality of radio access points configured for supporting messaging with a vehicle according to differing types of wireless radio communications and a back office controller configured for determining multimode information to be added to each of the datasets prior to the datasets being communicated to the hybrid platform for transport to the vehicle.

Abstract: Systems and methods for vehicles to detect and react to scene changes during stops for passenger pick-up, passenger drop-off, and deliveries. In particular, systems and methods are provided for a vehicle to detect a scene change while stopped and move a short distance from its stopped location. In general, after a vehicle has stopped to pick up or drop off a passenger or delivery, the vehicle remains stopped until it begins its drive to a next location.