Abstract: A computer implemented method for controlling camera exposure to augment a wiper system of a sensor enclosure. The computer implemented method can detect a presence of a wiper in one or more images captured by one or more cameras. An exposure time of the one or more cameras can be adjusted. Wiper speed can be adjusted such that wipers move in and out of one or more field of views of the one or more cameras while the one or more cameras are capturing images.

Abstract: Systems and methods are provided for detecting theft of an enclosure of an autonomous vehicle. Pressure exerted by the enclosure to a fixture as measured by one or more piezoelectric sensors can be monitored. A change in the pressure exerted by the enclosure as measured by the one or more piezoelectric sensors can be detected. An alert can be generated based on the change in the pressure.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate monitoring usage of a vehicle. Usage information for a vehicle may be obtained. The usage information may characterize usage of the vehicle by one or more persons. A monitoring event may be detected based on the usage information. Responsive to detection of the monitoring event, one or more lights of the vehicle may be controlled.

Abstract: An environmental safety system may comprise a plurality of first sensors each located at a predetermined physical location of a physical location and with a predetermined orientation. The system may receive first sensor data captured by the plurality of first sensors. The system may also determine values of one or more parameters of an object within a threshold distance of the physical location using the first sensor data. The values of the one or more parameters of the object may be transmitted to a vehicle approaching the physical location. The vehicle may receive second sensor data captured by a plurality of second sensors in the vehicle. An optimized navigation of the vehicle approaching the physical location may be determined based on the values of the one or more parameters of the object and the second sensor data. A driving action may be provided to the vehicle based on the optimized navigation of the vehicle.

Abstract: A cover defining an outer contour of a sensor enclosure with at least three identifiable portions stacked along a vertical axis. A first portion having a circular domed shape. A second portion, disposed underneath the first portion and coupled to a base of the first portion, having a truncated cone shape. The second portion includes one or more protruding grooves arranged diagonally about the vertical axis and imprinted on an outer surface of the second portion. The one or more protruding grooves channel a portion of an inlet airflow drawn into a cavity of the cover into a circular airflow. A third portion, disposed underneath the second portion and coupled to a base of the second portion, having a truncated cone shape.

Abstract: Systems and methods are provided for segmenting a data frame to be acquired into a number of incremental data of equal data length. A first incremental data of the data frame can be acquired from one or more sensors. The first incremental data of the data frame can be processed while a next incremental data of the data frame is being acquired from the one or more sensors. The acquiring and processing of incremental data of the data frame can continue until a last incremental data of the data frame is acquired and processed. Processed incremental data can be outputted as a processed data frame.

Abstract: A lens mount apparatus mountable on a vehicle and a method for controlling a lens mount apparatus are described. The lens mount apparatus includes a plurality of lenses concentrically arranged around a center, and the plurality of lenses include a first lens having a first focal length and a second lens having a second focal length that is shorter than the first focal length. The method includes positioning one of the plurality of lenses, such that one of the lenses that has a focal length suitable for capturing an object is used for image capturing.

Abstract: Systems and methods are provided for responding to theft of a sensor enclosure of an autonomous vehicle. Theft of the sensor enclosure can be detected using at least one piezoelectric sensor. An electrical signal to the at least one piezoelectric sensor can be generated. The at least one piezoelectric sensor can be caused to emit a sound based on the electric signal.

Abstract: Provided herein is a system and method for directing an airflow into an enclosure of a vehicle. The system comprises an enclosure comprising a vent at a base of the enclosure. The enclosure houses one or more sensors. The system comprises a deflector connected to the enclosure and configured to channel an airflow and direct the channeled airflow into the vent of the enclosure.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate cabin monitoring of a vehicle. A selection of a cabin monitoring option may be monitored. Responsive to the selection of the cabin monitoring option, one or more sensors may be controlled to monitor an interior of a vehicle.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate monitoring usage of a vehicle seat belt. An image capture device may have a field of view directed at a seat belt system of a vehicle. The image capture device may be configured to capture an image of the seat belt system. The image may be defined by image information. The image information may be obtained. Whether a seat belt of the seat belt system is or is not being used by a passenger may be determined based on an analysis of the image. An alert may be generated responsive to a determination that the seat belt is not being used by the passenger.

Abstract: Provided herein is a system and method that detects an airborne object and determines a driving action based on the airborne object. The system comprises one or more sensors; one or more processors; a memory storing instructions that, when executed by the one or more processors, causes the system to perform detecting an airborne object within a detection radius of a vehicle. In response to detecting the airborne object, the system performs tracking the airborne object to obtain 3-D coordinate information of the airborne object at distinct times, determining a probability that the airborne object will collide with the one or more sensors based on the 3-D coordinate information, determining whether to take an action of the vehicle based on the determined probability, the action being one of actuating a shield to block the airborne object or activating an air curtain; and performing the action in response to determining to take the action.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate monitoring location of a mobile device. A relative location of a mobile device of a passenger to a vehicle may be monitored. Whether a location of the mobile device is coincident with a location of the vehicle may be determined based on the relative location of the mobile device to the vehicle. An alert may be generated responsive to a determination that the location of the mobile device is coincident with the location of the vehicle.

Abstract: Obtaining one or more parameters of an autonomous vehicle, the parameters including any of a position, path, and/or speed of the autonomous vehicle. A region of interest from a plurality of regions surrounding the autonomous vehicle is identified based on the one or more parameters. One or more sensors mounted on a sensor guide rail are controlled, based on the region of interest, to move the sensor(s) along at least a portion of the autonomous vehicle, and to capture sensor data of the region of interest and not capture sensor data from the one or more other regions of the plurality of regions surrounding the autonomous vehicle, the sensor guide rail being mounted on a surface of the autonomous vehicle. The captured sensor data is provided to a processor capable of facilitating, based on the captured sensor data of the region of interest, one or more autonomous vehicle driving actions.

Abstract: Systems, methods, and non-transitory computer readable media may be configured to facilitate prioritization of vehicle navigation. One or more vehicles in an environment of a priority vehicle may be identified. Priorities of the vehicle(s) and the priority vehicle may be determined. A desired navigation of the priority vehicle in the environment may be determined based on the priorities of the vehicle(s) and the priority vehicle. An instruction may be provided to at least one of the vehicle(s) based on the desired navigation of the priority vehicle in the environment. The instruction may characterize one or more maneuvers to be performed by the at least one of the vehicle(s) to facilitate the desired navigation of the priority vehicle.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.

Abstract: Systems and methods are provided for enclosure alignment. An enclosure can be translated along a fixture. A signal can be detected, during the translation of the enclosure, from a signal transmitter to a signal receiver. An intensity of the signal can be determined. An audio cue can be emitted based on the intensity of the signal. The enclosure may be aligned along the fixture based on the emitted audio cue.

Abstract: Systems and methods are provided for securing an enclosure to an autonomous vehicle. The enclosure can be translated to a final alignment location on a fixture of the autonomous vehicle. The enclosure can include one or more piezoelectric sensors disposed underneath one or more mounting points of the enclosure. The one or more piezoelectric sensors can be initialized to an initial value. Changes in values from the one or more piezoelectric sensors can be measured as the enclosure is being secured to the fixture by one or more mechanical coupling devices through the one or more mounting points.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: An adaptive filter system and a method for controlling the adaptive filter system are described herein. The system can includes one or more filters to attenuate incoming light. The one or more filters can be moved by one or more actuators. The method can capture image data from an imaging device through the one or more filters. Information can be determined from the captured image data. The one or more filters can be moved to a position for capturing image data based on the information.