Abstract: Systems, methods, and devices for detecting a vehicle's turn signal status for collision avoidance during lane-switching maneuvers or otherwise. A method includes detecting, at a first vehicle, a presence of a second vehicle in an adjacent lane. The method includes identifying, in an image of the second vehicle, a sub-portion containing a turn signal indicator of the second vehicle. The method includes processing the sub-portion of the image to determine a state of the turn signal indicator. The method also includes notifying a driver or performing a driving maneuver, at the first vehicle, based on the state of the turn signal indicator.

Abstract: The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.

Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.

Abstract: Systems, methods, and devices for predicting a driver's intention and future movements of a proximal vehicle, whether an automated vehicle or a human driven vehicle, are disclosed herein. A system for predicting future movements of a vehicle includes an intersection component, a camera system, a boundary component, and a prediction component. The intersection component is configured to determine that a parent vehicle is near an intersection. The camera system is configured to capture an image of the proximal vehicle. The boundary component is configured to identify a sub-portion of the image containing a turn signal indicator on the proximal vehicle. The prediction component is configured to predict future movement of the proximal vehicle through the intersection based on a state of the turn signal indicator.

Abstract: Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A system for predicting future movements of a vehicle includes a camera system, a boundary component, a body language component, and a prediction component. The camera system is configured to capture an image of a vehicle. The boundary component is configured to identify a sub-portion of the image corresponding to an area where a driver of a vehicle is located. The body language component configured to detect a driver's body language. The prediction component configured to predict future motion of the vehicle based on the driver's body language detected by the body language component.

Abstract: Methods and apparatus pertaining to an intelligent vehicle access point opening system are provided. A method may involve detecting a presence of an object in a vicinity of a cover of an access point of a vehicle. The method may also involve receiving a command to open the cover and activating a mechanism to open the cover responsive to receiving the command. The method may further involve determining whether the object is likely to fall as the cover is being opened. The method may additionally involve pausing opening of the cover responsive to a determination that the object is likely to fall as the cover is being opened.

Abstract: A controller for an autonomous vehicle receives audio signals from one or more microphones. The outputs of the microphones are pre-processed to enhance audio features that originated from vehicles. The outputs may also be processed to remove noise. The audio features are input to a machine learning model that classifies the source of the audio features. For example, features may be classified as originating from a vehicle. A direction to a source of the audio features is determined based on relative delays of the audio features in signals from multiple microphones. Where audio features are classified with an above-threshold confidence as originating from a vehicle, collision avoidance is performed with respect to the direction to the source of the audio features.

Abstract: Systems, methods and apparatuses are disclosed for assessing whether a vehicle will make contact with an obstacle. The systems, methods, and apparatuses may include an obstacle sensing component configured to determine a location and a dimension of an obstacle, a vehicle sensing component configured to determine a height of a point of the vehicle relative to the ground, and a notification component configured to provide an indication of a presence of the obstacle to assist a human driver or an automated driving system in parking the vehicle without making contact with the obstacle.

Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.

Abstract: A controller for an autonomous vehicle received audio streams from one or more microphones and one or more image streams from one or more cameras. The audio streams are processed to identify audio features that potentially correspond to a motorcycle. The video streams are likewise processed to identify image objects that have movement and/or visual attributes corresponding to a motorcycle. The audio features and image objects are correlated. If a correlation is identified among the audio features and image objects, then a potentially lane-splitting motorcycle may be determined to be proximate. Actions may be taken to avoid collision with the lane-splitting motorcycle, such as avoiding lane changes, signaling longer, or performing lane changes more slowly.

Abstract: Example vehicle unlocking systems and methods are described. In one implementation, a method detects a vehicle access device within a predetermined distance of a vehicle and determines a geographic location of the vehicle. The method also detects a time of day and determines previous door unlocking behavior associated with the vehicle access device. A vehicle access point is selected for unlocking based on the geographic location, time of day, and previous door unlocking behavior.

Abstract: A computing device includes a processing circuit and a data storage medium. The computing device is programmed to receive a user input selecting at least one testing parameter associated with autonomously operating a virtual vehicle in a virtual environment, simulate the virtual environment incorporating the at least one testing parameter, virtually navigate the virtual vehicle through the virtual environment, collect virtual sensor data, and processing the collected virtual sensor data.

Abstract: A computing device comprising a processing circuit and a data storage medium. The computing device is programmed to receive virtual sensor data that represents data collected by a virtual sensor associated with autonomously operating a virtual vehicle in a virtual environment and process the virtual sensor data to identify a limitation of a real-world sensor.

Abstract: A computing device includes a processing circuit and a data storage medium, and is programmed to receive a user input representing a vehicle control action associated with operating a virtual vehicle in a virtual environment, virtually navigate the virtual vehicle through the virtual environment according to the vehicle control action, collect virtual sensor data, and process the virtual sensor data collected.