Abstract: A voltage generator supplies a voltage to an electronic device of a Light Detection and Ranging (LiDAR) system. The voltage generator includes a clock source configured to generate a clock signal and a voltage source configured to generate a first voltage signal having a first voltage level. The voltage generator also includes a voltage multiplier coupled to the voltage source and the clock source. The voltage multiplier is configured to generate a second voltage signal having a second voltage level based on the first voltage signal and the clock signal. The second voltage level is higher than the first voltage level.

Abstract: Embodiments of the disclosure provide a system for controlling power of laser lights emitted by an optical sensing device. The system includes at least one storage device configured to store instructions and at least one processor communicatively coupled to the at least one storage device and configured to execute the instructions to perform operations. The operations include detecting an object within a field of view of the optical sensing device based on a reflected laser signal received by the optical sensing device, determining a distance of the object from the optical sensing device, determining a value indicating a total power of one or more laser beams to be incident on an aperture at the distance, and comparing the value with a predetermined tolerance value. The operations also includes adjusting a laser emission scheme to reduce the total power when the value is greater than the predetermined tolerance value.

Abstract: Systems and methods are provided for program security protection. An exemplary method for program security protection may comprise obtaining data packets transceived by a first program, analyzing similarities among the obtained data packets for a plurality of transmissions, and determining a security threat to the first program based on the analyzed similarities.

Abstract: Embodiments of the disclosure provide transmitters for light detection and ranging (LiDAR). The transmitter includes a laser source, a light collimator, and a beam shifter. The laser source is configured to provide a native laser beam. The light collimator is configured to collimate the native laser beam to form an input laser beam transmitting along a lateral direction. The beam shifter is configured to shift the input laser beam along a vertical direction perpendicular to the lateral direction by a displacement to form an output laser beam. The output laser beam and the input laser beam are parallel to each other.

Abstract: Process states of computing devices may be obtained and processed. Process event information of a computing device may be obtained. The process event information may characterize states of processes of the computing device. The process event information may be stored within a queue. Graph information may be determined based on the process event information within the queue. The graph information may characterize states of processes of the computing device using nodes and edges. The graph information may be stored within a graph database.

Abstract: A computer-implemented method for domain analysis comprises: obtaining, by a computing device, a domain; and inputting, by the computing device, the obtained domain to a trained detection model to determine if the obtained domain was generated by one or more domain generation algorithms. The detection model comprises a neural network model, a n-gram-based machine learning model, and an ensemble layer. Inputting the obtained domain to the detection model comprises inputting the obtained domain to each of the neural network model and the n-gram-based machine learning model. The neural network model and the n-gram-based machine learning model both output to the ensemble layer. The ensemble layer outputs a probability that the obtained domain was generated by the domain generation algorithms.

Abstract: A system and method for correcting a Light Detection And Ranging (LiDAR) return signal is disclosed. The LiDAR return signal is digitized by a converter. An exemplary signal correction system includes a signal processor configured to identify saturated samples from the LiDAR return signal, determine a correction parameter based on non-saturated samples in the LiDAR return signal and corresponding samples in a reference signal, and correct the saturated samples in the LiDAR return signal using the correction parameter.

Abstract: Process states of computing devices may be collected for processing. Process event information of a first computing device may be determined based on an observation of process creation events and process termination events, a garbage collection, and a process scan. The process event information may be provided to a second computing device.

Abstract: Embodiments of the disclosure provide systems and methods for determining fingerprint information of a terminal device in a transportation service. An exemplary system may include a communication interface configured to establish a communication link between first and second terminal devices and receive user data from the first terminal device associated with a user of the transportation service. The communication interface may also be configured to receive authentication information authenticating the second terminal device. The system may also include a memory configured to store the user data and at least one processor coupled to the memory. The at least one processor is configured to determine a first fingerprint of the first terminal device based on the user data after receiving the authentication information authenticating the second terminal device.

Abstract: Embodiments of the disclosure provide a method and system for processing a customer inquiry. The method includes obtaining multiple conversations. Each of the conversations includes multiple conversation entries associated with the conversation. The method also includes, for each of the conversations, generating a directed path from a start to an end of the historical conversation. The directed path includes multiple edges and vertices. Each of the edges represents a conversation entry or an API call associated with the conversation, and each of the vertices represents a state of the conversation. The method further includes generating a directed graph based on the generated directed paths and determining an optimized directed path based on the directed graph. The method also includes receiving a customer inquiry from a user device associated with a customer, and generating a response based on the optimized directed path.

Abstract: Embodiments of the disclosure provide systems and methods for fraud detection in a transportation service. An exemplary system may include a communication interface configured to receive user data from a terminal device associated with a user providing the transportation service. The user data may include identification information of the terminal device. The system may also include a memory configured to store the user data. The system may also include at least one processor coupled to the memory. The processor may be configured to determine a first fingerprint based on the identification information. The processor may be further configured to determine whether the first fingerprint matches a first reference fingerprint associated with a registered terminal device. Moreover, the processor may be configured to generate a first notice when the first fingerprint does not match the first reference fingerprint.

Abstract: Embodiments of the disclosure provide a micromachined mirror assembly having a mirror-base layer, a first reflective layer on a top surface of the mirror-base layer, and a second reflective layer on a bottom surface of the mirror-base layer. In an example, the first reflective layer is reflective to incident light of the micromachined mirror assembly, and the first reflective layer and the second reflective layer are made of a same material and have same dimensions.

Abstract: Embodiments of the disclosure provide methods and systems for generating a customer inquiry processing model for processing customer inquiries. The method includes obtaining a conversation log comprising a plurality of conversation entries associated with a conversation between a customer and an agent. The method also includes identifying, from the conversation entries, a slot of key information and determining that the identified slot relates to an application program interface (API) call. The method also includes obtaining an API log comprising a plurality of API calls associated with the conversation, and identifying an API call from the API calls included in the API call log based on the identified slot. The method further includes associating the identified slot with the corresponding API call and generating a customer inquiry processing model for processing a customer inquiry based on information relating to the identified slot and the corresponding API call.

Abstract: Embodiments of the disclosure provide systems and methods for fraud detecting in a transportation service. An exemplary method may include receiving user data from a terminal device associated with a user providing transportation service. The user data may include a location associated with the transportation service and positioning data of a geographical positioning system. The method may also include determining a first fingerprint based on the positioning data. The method may further include determining whether the first fingerprint matches a first reference fingerprint of a transmitter of the geographical position system corresponding to the location. Moreover, the method may include triggering a first fraud alert when the first fingerprint does not match the first reference fingerprint.

Abstract: Embodiments of the disclosure provide a system for analyzing noise data for light detection and ranging (LiDAR). The system includes a communication interface configured to sequentially receive noise data of the LiDAR in time windows, at least one storage device configured to store instructions, and at least one processor configured to execute the instructions to perform operations. Exemplary operations include determining an estimated noise value of a first time window using the noise data received in the first time window and determining an instant noise value of a second time window using the noise data received in the second time window. The second time window is immediately subsequent to the first time window. The operations also include determining an estimated noise value of the second time window by aggregating the estimated noise value of the first time window and the instant noise value of the second time window.

Abstract: Embodiments of the disclosure provide a micromachined mirror assembly having multiple coating layers. In one example, the micromachined mirror assembly includes a micro mirror having a first thermal expansion coefficient, a reflective layer having a second thermal expansion coefficient, and a compensation layer having a third thermal expansion coefficient. The reflective layer is disposed on a top surface of the micro mirror and is reflective to incident light of the micromachined mirror assembly. The compensation layer is disposed on the reflective layer and is transparent to the incident light of the micromachined mirror assembly. The first thermal expansion coefficient is between the second thermal expansion coefficient and the third thermal expansion coefficient.

Abstract: A system for controlling a pulsed laser diode includes a power source configured to supply power to the pulsed laser diode and at least one driving branch between the power source and the pulsed laser diode. The at least one driving branch is configured to control power delivery from the power source to the pulsed laser diode. The at least one driving branch is connected to a cathode of the pulsed laser diode.

Abstract: Embodiments of the disclosure provide control systems and methods for controlling a pulsed laser diode and a sensing device including a pulsed laser diode. An exemplary control system includes a distance detector configured to generate a distance signal indicating a distance between the pulsed laser diode and an object reflecting pulsed laser beams emitted by the pulsed laser diode. The control system may also include a controller configured to dynamically control power supplied to the pulse laser diode based on the distance signal.

Abstract: Embodiments of the disclosure provide systems and methods for determining depth information in a two-dimensional (2D) image. An exemplary system may include a processor and a non-transitory memory storing instructions that, when executed by the processor, cause the system to perform the various operations. The operations may include receiving a first feature map based on the 2D image and applying an extraction network having a convolution operation and a pooling operation to the first feature map to obtain a second feature map. The operations may also include applying a reconstruction network having a deconvolution operation to the second feature map to obtain a depth map.

Abstract: Embodiments of the disclosure provide receivers for a light detection and ranging (LiDAR) scanner. The receiver includes a photodetector configured to receive a laser beam, and convert the received laser beam to an electrical signal including a plurality of pulses. The receiver also includes an amplifier configured to amplify the electrical signal. The receiver further includes a pulse equalizer configured to sharpen the plurality of pulses in the amplified electrical signal. Each pulse is sharpened to have a narrower width and an increased amplitude.