Abstract: The present disclosure provides a sensing circuit, including a photo-sensing component, a first transistor, and a temperature-sensing component. The photo-sensing component is configured to receive a light and transmit a first current according to an intensity of the light. A gate terminal of the first transistor is configured to receive a first control circuit. The photo-sensing component and the first transistor are coupled in series between first and second nodes. The temperature-sensing component is coupled between the first and second nodes and is configured to generate a second current according to a temperature. The temperature-sensing component includes a channel structure, a first gate, a second gate, and a light-shielding structure. The channel structure is configured to transmit the second current.

Abstract: A light-emitting device, including a first type semiconductor layer, a patterned insulating layer, a light-emitting layer, and a second type semiconductor layer, is provided. The patterned insulating layer covers the first type semiconductor layer and has a plurality of insulating openings. The insulating openings are separated from each other. The light-emitting layer is located in the plurality of insulating openings and covers a portion of the first type semiconductor layer. The second type semiconductor layer is located on the light-emitting layer.

Abstract: The present disclosure provides a semiconductor device. The semiconductor device includes a fin disposed in a first region of the semiconductor device, channel members disposed in a second region of the semiconductor device and stacked in a vertical direction, first and second metal gates disposed on a top surface of the fin, a third metal gate wrapping around each of the channel members, a first implant region in the fin with a first conductivity type, and a second implant region in the fin with a second conductivity opposite the first conductivity type. The fin includes first and second type epitaxial layers alternatingly disposed in the vertical direction. The first and second type epitaxial layers have different material compositions. The first type epitaxial layers and the channel members have the same material composition.

Abstract: A perovskite optical element includes a light guiding unit and a luminescent layer. The light guiding unit is configured to conduct light and serves as a resonant cavity. The luminescent layer is a thin film made of perovskite material and clads the light guiding unit. The luminescent layer is configured to be excited by an excitation module to emit light. The light is conducted and output by the light guiding unit. A manufacturing method of a perovskite optical element includes preparing a dip coating solution; dipping a single crystal optical fiber in the dip coating solution for one hour, removing the single crystal optical fiber out of the dip coating solution, and drying the single crystal optical fiber; and placing the single crystal optical fiber into a tube furnace, heating the crystal optical fiber, and introducing synthetic molecules into the tube furnace.

Abstract: A perovskite optical element includes a light guiding unit and a luminescent layer. The light guiding unit is configured to conduct light and serves as a resonant cavity. The luminescent layer is a thin film made of perovskite material and clads the light guiding unit. The luminescent layer is configured to be excited by an excitation module to emit light. The light is conducted and output by the light guiding unit. A manufacturing method of a perovskite optical element includes preparing a dip coating solution; dipping a single crystal optical fiber in the dip coating solution for one hour, removing the single crystal optical fiber out of the dip coating solution, and drying the single crystal optical fiber; and placing the single crystal optical fiber into a tube furnace, heating the crystal optical fiber, and introducing synthetic molecules into the tube furnace.

Abstract: An automatic vehicle parking assistance correcting system with instant environmental detection for detecting at least one surrounding vehicle and immediately correcting a driving vehicle includes a vehicle sensor, a plurality of distance sensors and an electronic control unit. The vehicle sensor detects a vehicle parameter data of the driving vehicle and outputs the vehicle parameter data. The distance sensors detect the surrounding vehicle located around the driving vehicle and output a plurality of distance values between the driving vehicle and the surrounding vehicle. The electronic control unit receives the distance values and the vehicle parameter data to generate a parking space data, and calculates the distance values, the parking space data and the vehicle parameter data to generate an initial parking trajectory according to a trajectory planning algorithm.

Abstract: A method for quantifying classification confidence of obstructions applied to a perception mergence system of a vehicular computer in a vehicle. The method includes steps of: the vehicular computer receiving obstruction information of at least obstruction, image information corresponding to the obstruction information and vehicle body signals, and using a classifier to classify them; calculating a detection result of each range sensor to calculate a existence confidence; using the existence confidences and precision of the classifier to calculate a classification belief assignment of each range sensor corresponding to each obstruction; performing mergence calculation on the classification belief assignments to respectively quantify an obstruction classification confidence of all the range sensor corresponding to each obstruction; and performing a classification ineffectiveness filtering mechanism to exclude the obstruction whose obstruction classification confidence less than a predetermined value.

Abstract: A method for quantifying classification confidence of obstructions applied to a perception mergence system of a vehicular computer in a vehicle. The method includes steps of: the vehicular computer receiving obstruction information of at least obstruction, image information corresponding to the obstruction information and vehicle body signals, and using a classifier to classify them; calculating a detection result of each range sensor to calculate a existence confidence; using the existence confidences and precision of the classifier to calculate a classification belief assignment of each range sensor corresponding to each obstruction; performing mergence calculation on the classification belief assignments to respectively quantify an obstruction classification confidence of all the range sensor corresponding to each obstruction; and performing a classification ineffectiveness filtering mechanism to exclude the obstruction whose obstruction classification confidence less than a predetermined value.

Abstract: A driving safety system mounted in a vehicle includes an image acquisition module and a distance detection module connected to a vehicle-mounted computer and respectively acquiring at least one piece of barrier information and at least one frame of image information. The vehicle-mounted computer analyzes the barrier information and the image information, constantly receives barrier information in the course of driving, and performs a screen and analysis algorithm to screen out noise from the surrounding environment and a comparison analysis algorithm to eliminate noise reflected from objects on the ground, to accurately acquire front target information. Accordingly, the driving safety system can correctly determine barriers in the front when the vehicle is moving to achieve the goal of enhancing driving safety.

Abstract: A driving safety system mounted in a vehicle includes an image acquisition module and a distance detection module connected to a vehicle-mounted computer and respectively acquiring at least one piece of barrier information and at least one frame of image information. The vehicle-mounted computer analyzes the barrier information and the image information, constantly receives barrier information in the course of driving, and performs a screen and analysis algorithm to screen out noise from the surrounding environment and a comparison analysis algorithm to eliminate noise reflected from objects on the ground, to accurately acquire front target information. Accordingly, the driving safety system can correctly determine barriers in the front when the vehicle is moving to achieve the goal of enhancing driving safety.

Abstract: A collision avoidance system is configured to be installed in a vehicle, and includes a speed sensing unit to sense a speed of the vehicle, a distance sensing unit to sense a distance between the vehicle and a nearby object, an EPB unit to decelerate the vehicle, and a control unit to compute a length of collision time after which the vehicle is predicted to collide with the object according to the speed of the vehicle and the distance between the vehicle and the object, and to control the EPB unit to decelerate the vehicle when the collision time is not longer than a brake time length.

Abstract: An autonomous driver assistance system is integrated with a vehicular control system to constantly detect ambient road environment of the vehicle, identify a vehicle ahead with same driving route to a destination, and follow the vehicle ahead by autonomous driving to the destination. Signals of direction indicators of the vehicle ahead can be recognized to determine a driving direction and driving state of the vehicle ahead beforehand, thereby reducing the chances of emergency brake and collision and increasing driving efficiency. Without expensive radar detection equipment, the present invention can be easily integrated with a vehicular control system to tackle the high installation cost and integration difficulty of conventional autonomous driver assistance apparatuses.

Abstract: A collision avoidance system is configured to be installed in a vehicle, and includes a speed sensing unit to sense a speed of the vehicle, a distance sensing unit to sense a distance between the vehicle and a nearby object, an EPB unit to decelerate the vehicle, and a control unit to compute a length of collision time after which the vehicle is predicted to collide with the object according to the speed of the vehicle and the distance between the vehicle and the object, and to control the EPB unit to decelerate the vehicle when the collision time is not longer than a brake time length.

Abstract: An autonomous driver assistance system is integrated with a vehicular control system to constantly detect ambient road environment of the vehicle, identify a vehicle ahead with same driving route to a destination, and follow the vehicle ahead by autonomous driving to the destination. Signals of direction indicators of the vehicle ahead can be recognized to determine a driving direction and driving state of the vehicle ahead beforehand, thereby reducing the chances of emergency brake and collision and increasing driving efficiency. Without expensive radar detection equipment, the present invention can be easily integrated with a vehicular control system to tackle the high installation cost and integration difficulty of conventional autonomous driver assistance apparatuses.

Abstract: A collision prevention warning method and device capable of tracking a moving object, the method comprises the following steps. Firstly, capturing a plurality of continuous images in a front region of 180 degrees, through identifying category of at least an obstacle in these continuous images, to find a moving obstacle. Next, detect continuous relative positions of the moving obstacle and vehicle, to estimate a first collision region of the vehicle. Then, based on the continuous relative positions and an Extended Kalman Filter Algorithm, to estimate a second collision region of the moving obstacle. Finally, based on the first collision region and the second collision region to calculate a collision point. When the first collision region and the second collision region at least partially overlap each other, estimate out a collision time, and then output an alarm signal to warn the driver and raise driving safety.

Abstract: A variable length fast Fourier transform (FFT) system and a method for performing the FFT system in a global navigation satellite system (GNSS) signal acquisition and tracking, which includes a memory and a number of processing elements are disclosed. Based on the GNSS signal tracking, the variable length FFT system performs a first FFT operation together with a first data length. Based on the GNSS signal acquisition, the variable length FFT system is divided into several FFT subsystems to simultaneously perform different operations with various data lengths different from the first data length. Thus, the variable length FFT system can enhance the hardware utility and increase throughputs.

Abstract: A method for obtaining GNSS time in a GNSS receiver includes: deriving a relationship between a first clock signal and the received GNSS time; latching a second clock signal and the first clock signal at a first latching point to obtain a clock value A1 of the first clock signal and a clock value B1 of the second clock signal; calculating a GNSS time C1 corresponding to the clock value A1 according to the relationship; latching the first clock signal and the second clock signal at a second latching point to obtain a clock value A2 of the first clock signal and a clock value B2 of the second clock signal; and calculating a GNSS time C2 corresponding to the clock value A2 according to the GNSS time C1, the clock value B1, and the clock value B2.

Abstract: A method for obtaining GNSS time in a GNSS receiver includes: deriving a relationship between a first clock signal and the received GNSS time; latching a second clock signal and the first clock signal at a first latching point to obtain a clock value A1 of the first clock signal and a clock value B1 of the second clock signal; calculating a GNSS time C1 corresponding to the clock value A1 according to the relationship; latching the first clock signal and the second clock signal at a second latching point to obtain a clock value A2 of the first clock signal and a clock value B2 of the second clock signal; and calculating a GNSS time C2 corresponding to the clock value A2 according to the GNSS time C1, the clock value B1, and the clock value B2.

Abstract: A method for obtaining GNSS time in a GNSS receiver includes: deriving a relationship between a first clock signal and the received GNSS time; latching a second clock signal and the first clock signal at a first latching point to obtain a clock value A1 of the first clock signal and a clock value B1 of the second clock signal; calculating a GNSS time C1 corresponding to the clock value A1 according to the relationship; latching the first clock signal and the second clock signal at a second latching point to obtain a clock value A2 of the first clock signal and a clock value B2 of the second clock signal; and calculating a GNSS time C2 corresponding to the clock value A2 according to the GNSS time C1, the clock value B1, and the clock value B2. For example, the aforementioned values A1, B1, C1, B2, and C2 represent values such as TTick1, RTC1, TOW1, RTC2, and TOW2, respectively.

Abstract: A correlation system for a GNSS receiver uses an FFT engine to perform correlation and post-FFT operation. The FFT engine executes FFT operation to an input data stream so as to generate a frequency-domain correlation with frequency-domain C/A code and IFFT operation to the frequency-domain correlation result to generate post correlation data for each hypothesis, and executes FFT operation to the post correlation data of a selected hypothesis to generate a post-correlation FFT result in a programmable TDM manner. In the present invention, in addition to the FFT engine, some components such as a magnitude calculation unit and memory are shared by a correlation stage and a post-correlation stage. Therefore, hardware complexity can be reduced.