Abstract: A system for providing hearing accessibility for an occupant in a vehicle includes at least one display unit operatively connected to the vehicle. The at least one display unit has multiple sections, including a media screen adapted to display video content and a plurality of text boxes. A controller is in electronic communication with the at least one display unit, the controller being adapted to selectively execute a dictation engine. The controller has a processor and tangible, non-transitory memory on which instructions are recorded. The controller is adapted to receive audio input data from a plurality of sources. The controller is adapted to generate respective transcribed data from the audio input data, via the dictation engine. The respective transcribed data is displayed in the plurality of text boxes.

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 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: 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 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: Systems and methods for determining metrics for lane closure zone detection and evaluating the performance of lane closure zone detection. A lane closure zone can include any area where a lane is closed off. The changes to the typical travel paths for vehicles on the roadway can indicate that vehicles are to travel along a different path than that indicated on the maps the AVs use to operate. Thus, it is important for accurate driving operations of the AVs for the AVs to be able to interpret the changes to the typical travel paths indicated by the lane closure. Navigating through lane closure zones generally includes mapping (by the AV) objects in the lane closure zone, including the objects indicating the lane closure, and understanding related surrounding non-player characters (e.g., other vehicles).

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.

Abstract: A power conversion device includes an inverter configured to receive direct current (DC) power and convert the DC power to alternating current (AC) power, at least one capacitor having a first capacitance, and a busbar assembly electrically connected to the inverter and configured to electrically connect the inverter to a power source. The busbar assembly includes a positive busbar and a negative busbar, and a first capacitor layer disposed between the positive busbar and the negative busbar. The first capacitor layer is configured provide an amount of capacitance in addition to the first capacitance.

Abstract: A hybrid vehicle door includes a structural door member including a first stile supporting a hinge, a second stile supporting a latch and a rail member extending between the first stile and the second stile. A latch actuator system is mounted to the rail member. The latch actuator system includes a latch actuator member operatively connected to the latch and a latch element connector operatively connected to the latch. A removable panel is connected to at least the first stile and the second stile. The removable panel covers the latch actuator system. A removable panel handle system is mounted to the removable panel. The removable panel handle system includes a removable panel latch actuator member mounted to the removable panel and a latch element operatively connected to the removable panel latch actuator member. The latch element is engaged with the latch element connector of the latch actuator system.

Abstract: A method includes virtually dividing a cargo area of a vehicle into a plurality of virtual cells. The method also includes creating, by implementing machine learning, a load profile for the cargo area. The load profile indicates a weight estimate at each of the plurality of virtual cells based on a load in the cargo area. Guidance on moving the load within the cargo area is provided based on the load profile to balance the load in the cargo area.

Abstract: A scene creation system for an autonomous vehicle includes one or more controllers executing instructions to receive perception data and map data of a roadway the autonomous vehicle is traveling along, and identify a plurality of lane segments of the roadway that the autonomous vehicle travels along based on the perception data and the map data. The one or more controllers connect the plurality of lane segments together based on a spatial relationship between the plurality of lane segments to create a lane graph. The one or more controllers classify each of the plurality of lane segments of the lane graph to one or more lane attributes and reassemble the plurality of lane segments to create a representation of the roadway. The one or more controllers recreate a scene of an environment surrounding the autonomous vehicle based on the representation of the lanes that are part of the roadway.

Abstract: Disclosed herein are systems and method including a method for managing an autonomous vehicle. The method includes obtaining labels associated with various aspects of right-of-way interactions between an autonomous vehicle and an agent, wherein the right-of-way interactions occur when a human driver takes over for the autonomous vehicle and performs the right-of-way interactions, running an autonomous vehicle stack that is untrained for processing right-of-way interactions between the autonomous vehicle and the agent, injecting the labels into the autonomous vehicle stack and determining, based on the injecting of the labels into the autonomous vehicle stack, a performance of the autonomous vehicle stack.

Abstract: The present technology is directed to identifying and labeling a vehicle appendage. More specifically, the present technology is generally related to receiving one or more lidar points associated with a vehicle having an appendage and outputting a label to classify the vehicle and the appendage. In some examples, a first portion of the one or more lidar points associated with the vehicle having the appendage represents the vehicle and a second portion of the one or more lidar points associated with the vehicle having the appendage represents the appendage The present disclosure can further train a perception model to output the label to classify the vehicle and the appendage.

Abstract: The disclosed technology provides solutions for improving perception systems and in particular for improving object identification based on sensor point cloud data, such as radar point cloud data. A process of the disclosed technology can include steps for receiving point cloud data comprising a plurality of radar points, wherein each of the radar points corresponds with a first object or a second object in an environment, generating a semantic label for each of the radar points, and clustering the plurality of radar points based on the semantic label for each of the radar points, to generate a first point cloud cluster for the first object and a second point cloud cluster for the second object. Systems and machine-readable media are also provided.

Abstract: A charging system of a vehicle includes a first conversion device of a first drive system of the vehicle, the first conversion device connected to a first electric motor. The system also includes a second conversion device of a second drive system of the vehicle, the second conversion device connected to a second electric motor. The first drive system and the second drive system are connected to a battery system of the vehicle. The system also includes a switching assembly including a plurality of switches configured to selectively connect the first electric motor and/or the second electric motor to a charge port of the vehicle, and a controller configured to control the switching assembly to define a conversion circuit that includes components of the first drive system and/or the second drive system, and control the conversion circuit to regulate an output voltage and supply power to an energy storage system.

Abstract: Particular embodiments described herein provide for a system and method to help prevent condensation inside an enclosure that includes an electronic system. The system and method can determine a current relative humidity of an environment inside an enclosure that houses the electronic system, use the current relative humidity and the current maximum temperature to determine a dew point for the environment inside the enclosure, activate one or more heating elements inside the enclosure when the current minimum temperature is the same or lower than the dew point for the environment inside the enclosure, activate one or more embedded fans, and open one or more vents to help purge moisture out of the system during heating. When the current minimum temperature is higher than the dew point for the environment inside the enclosure, the system and method can allow the electronic system to power on.

Abstract: A polyhedral sensor target includes multiple surfaces. A housing, such as a vehicle, may include a camera and a distance measurement sensor, such as a light detection and ranging (LIDAR) sensor. The housing may move between different positions during calibration, for instance by being rotated atop a turntable. The camera and distance measurement sensor may both capture data during calibration, from which visual and distance measurement representations of the polyhedral sensor target are identified. The camera and distance measurement sensor are calibrated based on their respective representations, for example by mapping vertices within the representations to the same location.

Abstract: A power control system for a battery system of a vehicle includes one or more supplemental protection devices that are connected to at least one of a first contactor, a second contactor, one of N fuses, and one of N vehicle loads. A battery management module is configured to measure and store a plurality of state of health parameters for the battery system and to selectively operate the one or more supplemental protection devices in a coverage gap between first and second coverage areas handled by the first contactor and the second contactor and the N fuses based on a calibration function and/or calibration parameters. A telematics system selectively sends the plurality of state of health parameters for the battery system to a remote server and to receive at least one of a new calibration function and new calibration parameters for the vehicle from the remote server.