AEB Autonomous Emergency Braking System
Monocular-Vision AEB System
In IDIADA, the Euro NCAP testing agency in Spain, PLK passed the official tests on AEB PD and AEB CCR using PLK's monocular vision sensor. PLK played the role of detecting the target objects and transmitting signals to the control unit. Recognizing objects stably and transmitting correct timing information to the control system proved that PLK vision sensor has a high recognition rate.
Sensor Fusion AEB System
LKAS Lane Keeping Assist System
PLK recognizes the road ahead to implement LKAS and plays the role of giving signals to the control unit so that the vehicle can run along the center line of the detected lane. Through image processing, it measures the lane width, the lateral position of the vehicle, the distance to lane markings, the shape of the lane, and the radius of curvature of the road and enables a stable run on the curved lane. Also, it can estimate the driving trajectory of the vehicle by using the obtained vehicle position and road information and change the lane along the estimated driving trajectory. It enables a precise and stable steering control system on curved lanes, which is essential for autonomous driving.
Sensor Fusion Vision and Radar Sensor Fusion
The vision sensor which is specially designed and developed by PLK can recognize and distinguish various objects simultaneously. Primarily, we applied the deep learning method to improve the cognitive ability and distinguish the detected objects. Among various autonomous driving sensors, only the vision sensor can achieve this field. Also, unlike the radar sensor, the vision sensor detects lane markings and reads road signs.
The radar sensor recognizes the object by calculating the reflection time of the radiated electric wave, and it can measure the distance stably regardless of the weather, night or day. Vision and radar sensor fusion can maximize the advantages of each sensor, so the fusion system can distinguish various objects such as vehicles, lanes, signs, and pedestrians while measuring the distance stably without being restricted by weather conditions and intensity of illumination. It is known as the most promising sensor solution in terms of cost and performance, and it is essential for autonomous driving as it allows the control system to operate at the correct timing.
The mapping technology accurately identifies the lane on which the driver is currently driving and suggests the route. It is known as an essential technology for completely autonomous driving. PLK system recognizes lanes, traffic lights, signs, and so on through the vision sensor and can integrate road map information to make GPS information ultra-precise. It measures the distance from the vehicle to the target object by recognizing the object on the road and obtains the lateral direction data based on the characteristics of the lane (colors, dotted markings, solid markings and so on). Through this, the driver can identify the location where he's currently driving in real time, and it can help the driver to navigate the route.
PLK is developing a technology that receives the surrounding information detected by each vehicle in real time through the communication between vehicles and the vehicle-object internet (traffic light, control center and so on). The vision sensor detects the exact location of the driver's vehicle and communicates the status of the driving route in real-time, helping to select the better path by receiving traffic information such as accidents and congestions. Also, the ADAS function allows the driver to share data of lane departure, forward vehicle collision, and pedestrian collision risk so that the driver can identify the risk of an accident in advance. It can utilize various data from the analyses of driving behaviors and accidents occurring at a specific place by sending big driving data to the control center or constructing road infrastructures that can alert the driver for accident prevention.