Abstract: The present invention provides a control method of a receiver. The control method includes the steps of: when the receiver enters a sleep/standby mode, continually detecting an auxiliary signal from an auxiliary channel to generate a detection result; and if the detection result indicates that the auxiliary signal has a preamble or a specific pattern, generating a wake-up control signal to wake up the receiver before successfully receiving the auxiliary signal having a wake-up command.

Abstract: An angle regulation device includes a casing, a regulating gear, a driving mechanism, a transmitting mechanism and a powering unit. The regulating gear is pivoted to the casing and is mounted with a radar detector. The driving mechanism includes co-rotatable rotating shaft, and first and second driving members. The transmitting mechanism includes first and second transmitting units each including a transmitting gear that meshes with the regulating gear and that has a gear radius smaller than that of the regulating gear, and a transmitting engaging structure that meshes with a respective one of the first and second driving members. The powering unit is coupled to the rotating shaft for rotating the radar detector relative to the casing.

Abstract: A composite autonomous driving assistant system for making decision and a method of using the same is provided. A longitudinal-controlling autonomous driving assistant device and a lateral-controlling autonomous driving assistant device start to automatically assist in driving a vehicle. Then, a sensing device senses states of the vehicle and an environment and generates one sensing signal. When a controller determines that the collision period is less than a preset collision period and that a deceleration signal of the sensing signal is larger than a preset deceleration, the controller generates a turn-stopping signal. When the controller determines that a turn angle signal of the sensing signal is larger than a preset angle, the controller generates a speed-stopping signal. The system establishes a switching threshold condition when the plurality autonomous driving assistant devices coexist.

Abstract: A composite autonomous driving assistant system for making decision and a method of using the same is provided. A longitudinal-controlling autonomous driving assistant device and a lateral-controlling autonomous driving assistant device start to automatically assist in driving a vehicle. Then, a sensing device senses states of the vehicle and an environment and generates one sensing signal. When a controller determines that the collision period is less than a preset collision period and that a deceleration signal of the sensing signal is larger than a preset deceleration, the controller generates a turn-stopping signal. When the controller determines that a rotation angle signal of the sensing signal is larger than a preset angle, the controller generates a speed-stopping signal. The present invention establishes an excellent switching threshold condition when the plurality autonomous driving assistant device coexist.

Abstract: The present invention discloses a system and method for detecting environment-induced disablement of ADAS. The system comprises a rainfall detector, a fog detector and a temperature/humidity detector respectively generating a rainfall value, a fog value, and a temperature/humidity value; a processor electrically connected with these detectors, using the rainfall value and fog value to generate a rainfall-fog value, using the fog value and temperature/humidity value to generate a snowfall value, using a fuzzy computation to process the rainfall-fog value and snowfall value to generate an output value, and emitting an alert signal if the output value exceeds a preset output value; and an automatic driver assistance device electrically connected with the processor, receiving the alert signal, and determining whether to stop automatic driving according to the alert signal. The present invention will alerts ADAS of the disablement lest ADAS execute wrong control actions.

Abstract: An autonomous braking system includes a detecting module, a tracing module, a collision path prediction module, a memory register, a collision time prediction module and a decision module. The detecting module recognizes multiple objects located ahead of a vehicle, and then the tracing module traces the moving objects. The collision path prediction module is used to obtain a possible collision range and a non-collision range. The memory register records the coordinate of the objects located within the possible collision range. When one of the objects moves out of the possible collision range, its data is instantaneously removed from the memory register. The collision time prediction module predicts a collision time between the vehicle and each of the objects. The decision module determines if a brake assist is activated in accordance with the collision time.

Abstract: An autonomous braking system includes a detecting module, a tracing module, a collision path prediction module, a memory register, a collision time prediction module and a decision module. The detecting module recognizes multiple objects located ahead of a vehicle, and then the tracing module traces the moving objects. The collision path prediction module is used to obtain a possible collision range and a non-collision range. The memory register records the coordinate of the objects located within the possible collision range. When one of the objects moves out of the possible collision range, its data is instantaneously removed from the memory register. The collision time prediction module predicts a collision time between the vehicle and each of the objects. The decision module determines if a brake assist is activated in accordance with the collision time.

Abstract: An angle regulation device includes a casing, a regulating gear, a driving mechanism, a transmitting mechanism and a powering unit. The regulating gear is pivoted to the casing and is mounted with a radar detector. The driving mechanism includes co-rotatable rotating shaft, and first and second driving members. The transmitting mechanism includes first and second transmitting units each including a transmitting gear that meshes with the regulating gear and that has a gear radius smaller than that of the regulating gear, and a transmitting engaging structure that meshes with a respective one of the first and second driving members. The powering unit is coupled to the rotating shaft for rotating the radar detector relative to the casing.

Abstract: A driving control system mounted in a vehicle receives multiple pieces of information through a status detection module and a vehicle safety determination module thereof, performs a safety and collision analysis to predict whether a driving danger exists, when a driving danger exists, instructs an emergency control module to calculate an optimal barrier-avoiding path and send a corresponding control signal to a vehicle control module, and when no driving danger exists, instructs a normal control module to perform an adaptive algorithm according to different road conditions and driver's behavior information and send a control signal to the vehicle control module. Accordingly, the driving control system can instantly plan a barrier-avoiding path according the degree of emergency and collision danger to achieve the goal of enhancing safety and stability of the vehicle and driver in driving.

Abstract: The present invention discloses a system and method for detecting environment-induced disablement of ADAS. The system comprises a rainfall detector, a fog detector and a temperature/humidity detector respectively generating a rainfall value, a fog value, and a temperature/humidity value; a processor electrically connected with these detectors, using the rainfall value and fog value to generate a rainfall-fog value, using the fog value and temperature/humidity value to generate a snowfall value, using a fuzzy computation to process the rainfall-fog value and snowfall value to generate an output value, and emitting an alert signal if the output value exceeds a preset output value; and an automatic driver assistance device electrically connected with the processor, receiving the alert signal, and determining whether to stop automatic driving according to the alert signal. The present invention will alerts ADAS of the disablement lest ADAS execute wrong control actions.

Abstract: A driving control system mounted in a vehicle receives multiple pieces of information through a status detection module and a vehicle safety determination module thereof, performs a safety and collision analysis to predict whether a driving danger exists, when a driving danger exists, instructs an emergency control module to calculate an optimal barrier-avoiding path and send a corresponding control signal to a vehicle control module, and when no driving danger exists, instructs a normal control module to perform an adaptive algorithm according to different road conditions and driver's behavior information and send a control signal to the vehicle control module. Accordingly, the driving control system can instantly plan a barrier-avoiding path according the degree of emergency and collision danger to achieve the goal of enhancing safety and stability of the vehicle and driver in driving.

Abstract: A lane curvature detection system by utilizing vehicular and inertial sensing signals, which utilizes a speed detector, a steering wheel angle sensor, and a driving direction detector, to measure vehicle signals, such as the speed information, steering wheel angle, and driving direction of a vehicle, to estimate a lane curvature for the vehicle, and transmits said lane curvature to following vehicles for reference through a wireless transmission module. The lane curvature can be used to correct a lane curvature model, to increase accuracy of estimation.

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 lane curvature detection system by utilizing vehicular and inertial sensing signals, which utilizes a speed detector, a steering wheel angle sensor, and a driving direction detector, to measure vehicle signals, such as the speed information, steering wheel angle, and driving direction of a vehicle, to estimate a lane curvature for the vehicle, and transmits said lane curvature to following vehicles for reference through a wireless transmission module. The lane curvature can be used to correct a lane curvature model, to increase accuracy of estimation.