Award-winning Work Information & Description
Smart Eye-Car Smart Driving Safety System
Description
Most of the cars on the road are not equipped with intelligent driver assistance systems (ADAS), and drivers will not be able to respond to certain special dangerous situations in a timely manner, which may cause traffic accidents. Among them, the distance to the car is too close, and the lane departure caused by inattention is the main cause of frequent traffic accidents. Therefore, our team has developed a driving recorder equipped with an intelligent driving assistance system (ADAS). This driving recorder can realize three auxiliary functions: pedestrian detection, forward collision warning and lane departure warning. (1) Pedestrian detection (Pedestrian Detection System , PDS) Use the camera on the device to dynamically obtain the image of the road ahead, and cooperate with the pedestrian detection algorithm to judge whether there is a pedestrian in front of the vehicle and the position of the pedestrian in real time, and judge whether a collision may occur. If it may occur, an alarm will be issued to the driver immediately. The driver responds in time to avoid pedestrians, effectively protecting the safety of pedestrians and drivers on the road. (2) Forward Collision Warning (Forward Collision Warning , FCW) The equipment uses the front vehicle detection and distance measurement algorithm to effectively identify the front vehicle and the relative distance, and predict whether it may collide with the front vehicle. If it is judged that a collision may occur, it will immediately issue an alarm to the driver to remind the driver to respond in time, effectively avoiding rear-end collisions caused by too fast speed or inattention of the driver. (3) Lane departure warning (Lane Departure Warning , LDW) The device calls the lane line detection algorithm to detect and fit the front lane line to obtain the geometric information of the lane line. At the same time, this information is passed into the lane departure warning decision algorithm for real-time analysis to determine whether the car has a lane departure. If it deviates, It immediately issues an alarm to the driver to remind the driver to correct the steering wheel, effectively avoiding lane departure accidents caused by fatigue or mental dispersion.