Xmotors.ai Inc.

Guangzhou Xiaopeng Autopilot Technology Co., Ltd.

Yandong Guo

Cheng Lu

Tianpeng Feng

Jun Ma

Tianshuo Zhang

Fan Yang

Zhe Li

Cong Zhang

Apparatus for controlling a brightness of a display of a vehicle includes: an infrared illuminator, configured to emit infrared light in the vehicle; a near infrared (NIR) light sensing unit, configured to capture reflected infrared light; an image data processing unit, configured to analyze the reflected infrared light to generate a feedback; an imaging control unit, configured to adjust, in response to the feedback, one or more of a plurality of properties of the NIR light sensing unit, so that readouts of the NIR light sensing unit are within a first range, wherein the image data processing unit generates a calculated NIR intensity readout under the adjusted properties; a reconstruction unit, configured to reconstruct a human perceived brightness based on the calculated NIR intensity readout; and the display, configured to adjust the brightness. The NIR light sensing unit is a unit of a driver monitoring system (DMS).

Apparatus, system and software for brightness control of vehicle display based on infrared camera

An apparatus for object detection around a vehicle includes an imaging device mounted on the vehicle and a computing device. The imaging device is used to capture a video of an exterior environment of the vehicle. The computing device is used to execute a DSFPN module in order to provide a DSFPN model detector, which functions as a perception unit to process and analyze the video captured by the imaging device and to estimate a scale, a location and categories of an object. The DSFPN model detector includes a bottom-up subnet provided with auxiliary prediction heads, and a top-down subnet provided with prediction heads. When the DSFPN model detector is performed in a model training stage, both the prediction heads and the auxiliary prediction heads are used. In a detection stage, only the prediction heads are used in the DSFPN model detector, and the auxiliary prediction heads are removed.

Apparatus, system and method for object detection around vehicle and application of same

Apparatus for vehicle driver recognition includes: a NIR LED illuminator, configured to emit NIR light in the vehicle; a NIR light sensing unit, configured to capture reflected NIR light; an image controlling and processing unit, configured to coordinate the NIR LED illuminator and the NIR light sensing unit, and analyze the reflected NIR light to generate an image; a face detector, configured to determine that a human face exists in the image, and identify a face region; a face feature extractor, configured to analyze the face region to extract a feature vector representing the face region; a face feature dictionary, configured to store existing feature vectors; a face retrieval system, configured to generate an identification result, indicating whether a similarity between the feature vector and any of the existing feature vectors is greater than a first threshold; and a user interface, configured to display the identification result.

Apparatus and method for vehicle driver recognition and applications of same

Apparatus and method for measuring physiological information of a living subject in a vehicle are provided. The apparatus includes an illumination unit configured to emit light at a wavelength and illuminate a region of interest (ROI) of the living subject with the emitted light; a light sensing unit configured to remotely acquire signals of light in a range of wavelengths reflected from the ROI of the living subject responsive to the illumination; a remote photoplethysmography (PPG) extraction unit configured to extract PPG signals from the acquired signals of light; a PPG processing unit configured to process the extracted PPG signals in the form of vital signs and subsequently determine a physical and psychological status of the living subject according to the vital signs; and a control unit configured to activate the illumination unit in a time-varying pattern and to activate the light sensing unit accordingly.

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Mountain View, CA, United States of America

Yandong Guo