Automotive Research & Testing Center

Automotive Research & Test Center

Ming-Hung Li

Ping-Min Hsu

Yi-Feng Su

Jiun-Jie Chen

Shih-Chieh Huang

Chi-Chun Yao

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. The present invention quantifies the obstruction classification confidence to improve the classification precision.

Method for quantifying classification confidence of obstructions

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.

Driving safety system and barrier screening method thereof

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.

Collision avoidance system and method for vehicles

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.

Growing community of inventors

Changhua Hsien, Taiwan

Ming-Hung Li