Abstract: An environment recognition system using vehicular millimeter wave radar includes a millimeter wave radar device detecting obstructions outside a vehicle and transforming detection results into reflection information. An energy intensity calculation device, an anti-noise calculation device, and an obstruction width calculation device are signally connected with the millimeter wave radar device to receive the reflection information, respectively calculate energy intensity information, signal-to-noise ratios and width information of the obstructions and transmit them to a control device. The control device integrates the energy intensity information, the signal-to-noise ratios and the width information to recognize types of the obstructions. The present invention can effectively recognize various obstructions outside the vehicle whereby the vehicle immediately reacts like performing a corresponding safety anti-collision system when detecting pedestrians.

Abstract: An environment recognition system using vehicular millimeter wave radar includes a millimeter wave radar device detecting obstructions outside a vehicle and transforming detection results into reflection information. An energy intensity calculation device, an anti-noise calculation device, and an obstruction width calculation device are signally connected with the millimeter wave radar device to receive the reflection information, respectively calculate energy intensity information, signal-to-noise ratios and width information of the obstructions and transmit them to a control device. The control device integrates the energy intensity information, the signal-to-noise ratios and the width information to recognize types of the obstructions. The present invention can effectively recognize various obstructions outside the vehicle whereby the vehicle immediately reacts like performing a corresponding safety anti-collision system when detecting pedestrians.

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.