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2025-06

A Brief Overview of the Three Electric Systems in New Energy Vehicles

The "three electric systems" of new energy vehicles refer to the core technologies that define these vehicles. These systems—battery, motor, and electronic control—are the most critical innovations distinguishing new-energy cars from traditional gasoline-powered vehicles, as they form the advanced powertrain designed as a direct replacement for the internal combustion engine system.

2025-06-16

A Brief Overview of the Three Electric Systems in New Energy Vehicles

2025-06

A Brief Discussion on the Differences Between LiDAR and Binocular Vision Approaches

Autonomous vehicles typically deploy multiple sensor systems for environmental perception, with the most popular ones being LiDAR, millimeter-wave radar, and camera modules. These sensor systems work together to provide a comprehensive view of the external world—capturing vehicles, pedestrians, cyclists, traffic signs, and more. Importantly, their overlapping functionalities also create redundancy, ensuring that if one system fails, another can seamlessly step in to fill the gap. Millimeter-wave radar is a key component found in most automotive sensor suites.

2025-06-16

A Brief Discussion on the Differences Between LiDAR and Binocular Vision Approaches

2025-06

A simple and easy-to-understand explanation of self-driving technology

Next, let’s delve deeper—now the issues start to become somewhat complex. In our daily lives, we might instinctively believe that at every moment, we’re making our next decision based entirely on the information our eyes are currently capturing. However, reality often unfolds differently. There’s always a slight delay—from the moment our eyes detect something to when our brain processes it and sends signals to our hands and feet. This holds true even for autonomous driving systems. Yet, we rarely notice this delay because our brains automatically "predict" what’s about to happen. Even if it’s just a matter of milliseconds, our decisions are already guided by these predictive insights, seamlessly directing the actions of our body or vehicle. After all, this predictive mechanism is fundamental to maintaining our normal functioning. That’s why we’ve introduced an additional "prediction" module before the system makes its final autonomous decision. Interestingly, the perception process itself is far more intricate than it appears at first glance. If we examine it closely, we’ll find that it actually consists of two distinct stages: "sensing" and "perception." During "sensing," raw data from sensors—such as images—are collected. Then, in the "perception" stage, this raw data is transformed into meaningful, actionable information (for instance, determining how many people are in the image). As the old saying goes, "What you see is real; what you hear may not be." And indeed, the "perceived" information can further be categorized into two types: "self-perception," which pertains to the vehicle itself, and "external perception," referring to the surrounding environment. Interestingly, whether humans or self-driving cars are processing these two types of information, they often employ quite different strategies.

2025-06-15

A simple and easy-to-understand explanation of self-driving technology

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Tian Yichen

(Senior Sales Manager)

Mobile:137 1131 5856

Email:smartexploring10@163.com

Address: No. 3, 1st Street, Mingyuan Villa, No. 358, Dongchong Section of Shinan Road, Nansha District, Guangzhou City

Mr. Li

(Sales Director)

Mobile:180 1184 3896

Email:smartexploring2@163.com

Address: No. 3, 1st Street, Mingyuan Villa, No. 358, Dongchong Section of Shinan Road, Nansha District, Guangzhou City

Wu Chunqiao

(General Manager)

Mobile:186 8848 1800

Email:

smartexploring1@163.com

Address: No. 3, 1st Street, Mingyuan Villa, No. 358, Dongchong Section of Shinan Road, Nansha District, Guangzhou City

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