MCNEX

MCNEX's Automotive Sensing Technology Advancing the Era of Full Autonomous Driving

The core technologies of autonomous vehicles are diverse, each playing a role in enabling the vehicle to drive itself and to perceive and understand its surrounding environment.

Key technologies that play significant roles in autonomous vehicles include sensor technology, computer vision, machine learning and artificial intelligence, V2X communication, mapping and location tracking technologies, among others. Of these, sensor technology is essential for autonomous vehicles to perceive and understand their surrounding environment. Cameras, radars, Lidar (Light Detection and Ranging), ultrasonic sensors, and infrared sensors are used to detect objects around the vehicle and measure their distance and relative speed.

MCNEX holds a range of sensing solution technologies necessary for autonomous driving through continual technological development of camera-based sensor technologies. As a leading company in autonomous driving, it contributes to improving the safety and efficiency of autonomous vehicles and to their ongoing development.

MCNEX is consistently conducting research and development on the core technologies necessary for autonomous driving. Let's take a closer look at one of their key technologies - the Tri-Focal camera sensor technology, an essential part of ADAS (Advanced Driver Assistance Systems). This technology acts like the eyes of an autonomous vehicle, and we will explore how it ensures our safety. 

1. Tri-Focal Camera, a key sensor for driving

Tri-Focal cameras are one of the essential autonomous driving technologies needed for autonomous vehicles to perceive and understand complex environments and to ensure safe driving.

In an autonomous driving system, a tri-focal camera plays a significant role. Such a system uses multiple sensors to observe and perceive the surrounding environment, and among these, cameras provide visual information that helps the vehicle accurately perceive and understand its surroundings. Particularly, a tri-focal camera offers a view from various distances, enabling the vehicle to respond to a wide range of situations.

1)Short-Range Detection

This detects and measures nearby objects and obstacles, making it ideal for parking, low-speed driving, and detecting proximate objects like pedestrians or bicycles.

2)Mid-Range Detection

This monitors the situation at the front of the vehicle, assisting with tasks like lane changes and lane keeping. Moreover, mid-range detection is critical for assessing road conditions in front of the vehicle and planning driving strategies for the next few seconds.

3)Long-Range Detection

This detects objects and situations far away. For instance, it can be used to gauge the status of a vehicle ahead during high-speed driving or to maintain a safe distance from a preceding vehicle.

Tri-Focal camera technology combines three camera lenses with different focal lengths into one unit. Each lens captures a different range, and together they create a complete, seamless image.

2. Why is it Necessary for Autonomous Driving?

The Tri-Focal camera, by combining these three detection capabilities, enables vehicles to respond to a variety of driving situations. Moreover, such cameras can be paired with other sensors like radar or Lidar, providing a richer and more accurate understanding of the surrounding environment. This allows the vehicle to drive more safely and efficiently. For these reasons, the Tri-Focal camera plays a crucial role in autonomous driving systems.

1)Detailed Environmental Perception 

With each lens capturing a different distance, the vehicle can obtain detailed information about the surrounding environment and detect pedestrians, other vehicles, road markings, traffic signs, etc., more clearly.

2) Rapid Response

The diverse distance capturing capability of the Tri-Focal camera helps the vehicle to react quickly and make precise decisions in complex driving environments.

3)Scalability 

Tri-Focal cameras can be combined with other sensor technologies. This is essential for autonomous vehicles to safely operate under various conditions and situations. For example, by using sensors like radar and LiDAR, the surrounding environment can be accurately detected regardless of the state of weather and light.

3. The Future of Tri-Focal Cameras

The Tri-Focal camera can be considered as the eyes of an autonomous vehicle. This technology allows vehicles to perceive and understand their surrounding environment in more detail, enabling safe driving even without a driver.

One of the critical factors in the advancement of Tri-Focal camera technology is the development of more advanced cameras with high resolution and wide angles. MCNEX's leading-edge camera module technology, encompassing both mobile and vehicle camera technologies, will enhance the performance and safety of autonomous vehicles by enabling them to respond more swiftly and accurately even in complex situations.

With the advancement of autonomous vehicles, the demand for sensor technologies like the Tri-Focal camera is expected to continually increase. Such technologies will continue to play a vital role in the autonomous driving market of the future. MCNEX will play a critical part in advancing the era of sophisticated autonomous driving through continuous research and technology development.
 

"MCNEX's automotive sector clients"