How Next-Generation LiDAR is Transforming Automotive Safety: Moving Beyond Just 'Stopping' to Accident Avoidance

■ Automotive safety technology is moving to the next stage

Automotive safety technology has evolved primarily around the concept of "detecting danger and stopping." When a vehicle, motorcycle, or pedestrian is in front, cameras or millimeter-wave radar detect the object and trigger automatic braking if the risk of collision increases. This is a crucial function in current advanced driver-assistance systems.

However, there are situations on real roads where "stopping" alone is not enough. Pedestrians suddenly darting out, motorcycles changing lanes, complex movements at intersections, or poor visibility at night or in bad weather—in these situations, it is necessary not just to apply the brakes, but to choose a safe path while decelerating.

This is where LiDAR using next-generation lasers is attracting attention.

■ What is LiDAR?

LiDAR is a sensor that uses laser light to measure the distance to and the shape of surrounding objects. By emitting light at objects and reading the reflections, it can grasp what is around the car in three dimensions.

Cameras can obtain information close to human vision, but there are limits to their ability to grasp distance. Millimeter-wave radar is relatively resistant to rain and fog and is suitable for measuring distance and speed, but it is not good at reading the fine shapes of objects.

LiDAR does not just sit in the middle; it plays a different role altogether. Its major feature is its ability to capture the surrounding space in three dimensions, allowing for more precise understanding of the positional relationships between vehicles, pedestrians, motorcycles, and obstacles.

■ The importance of combining with monocular cameras and millimeter-wave radar

Next-generation LiDAR is expected to be used in combination with existing monocular cameras and millimeter-wave radar rather than being used alone.

Cameras are good at reading signs, traffic lights, lanes, and pedestrian posture. Millimeter-wave radar has strengths in measuring the distance and relative speed to the vehicle in front. And LiDAR supports more accurate spatial recognition by capturing surrounding objects in three dimensions.

In other words, by compensating for the weaknesses of each sensor, the car can make more reliable decisions. Just as human drivers combine their vision with experience, sound, and a sense of speed to make decisions, it is important for autonomous driving and driver assistance to layer multiple sources of information.

■ Conventional safety technology focused on "stopping"

Current automatic braking is basically premised on stopping the vehicle when a risk of collision is detected. Of course, this is a very important technology. Automatic braking has played a major role in preventing rear-end collisions and collisions with pedestrians.

However, automatic braking also has its limits. For example, if you stop suddenly when a following vehicle is close, it could lead to another accident. Also, even if there is space to avoid an obstacle in front, current systems often prioritize the decision to "stop."

To further improve safety, the ability to judge "how to move" after detecting danger is required.

■ "Avoidance" safety made possible by next-generation LiDAR

With the addition of next-generation LiDAR, automobiles will be able to grasp the surrounding space more accurately. This makes advanced control a reality, where the car does not just stop, but automatically decelerates to pass safely or steers to avoid an obstacle if necessary.

For example, even if there is an obstacle ahead, if the system can precisely judge whether there is safe clearance in the lane, whether there are no vehicles in the adjacent lane, and in which direction a pedestrian is moving, more natural and safe avoidance maneuvers become possible.

This is a shift from the idea of "stopping because there is danger" to the idea of "understanding the danger and choosing the safest action."

■ Technology Approaching the Realization of Autonomous Driving

Advanced accident avoidance technology using next-generation LiDAR is nearing realization at the demonstration level. In research and development, progress is being made on technology that integrates information from multiple sensors, allowing vehicles to judge situations and act on their own.

As this technology evolves, safer autonomous driving can be expected not only on highways but also in complex environments such as city streets and intersections. In Japan's road environment, where pedestrians, bicycles, and motorcycles are mixed, the value of sensors capable of detailed spatial recognition is considered to be significant.

While we will not reach full autonomous driving all at once, next-generation LiDAR will be one of the key technologies supporting its foundation.

■ The Biggest Challenge is Cost

On the other hand, next-generation LiDAR also faces a major challenge: cost.

High-performance LiDAR is still expensive, making it difficult to widely install in commercial vehicles. While it can be installed in luxury cars or test vehicles, the cost of parts must be significantly reduced to adopt it in general mass-produced vehicles.

To achieve this, cost reduction through mass production is essential. Progress is required in both technical and industrial aspects, such as miniaturizing the sensor itself, streamlining manufacturing processes, improving durability, and making it easier to integrate into vehicles.

■ Widespread Adoption Will Change the Concept of Safety

Once next-generation LiDAR is installed in mass-produced vehicles, automotive safety technology will change significantly.

Until now, the focus has been on "stopping" to avoid accidents. From now on, we may move toward an era where vehicles understand their surroundings more deeply and choose the optimal action from multiple options, such as "decelerating," "passing through," or "avoiding."

This is not just about improving the performance of autonomous driving. It means the quality of driving assistance itself will change. Vehicles will understand their surroundings in a way closer to human judgment and avoid danger. Next-generation LiDAR will likely become a crucial sensor supporting that future.

■ Summary

LiDAR using next-generation lasers is a powerful technology for enhancing automotive safety. By combining it with monocular cameras and millimeter-wave radar, vehicles can more accurately detect vehicles, motorcycles, and pedestrians ahead, allowing for more sophisticated accident avoidance decisions.

While current automatic braking focuses on "stopping," the widespread adoption of next-generation LiDAR will enable more flexible accident avoidance, such as "decelerating and passing through" or "steering to avoid."

The challenge remains cost. To install it widely in commercial vehicles, cost reduction through mass production is necessary. Nevertheless, it is nearing realization at the demonstration level, and there is no doubt that automotive safety technology is about to move to the next stage.

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#AutonomousDriving
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#AccidentAvoidance
#NextGenerationMobility

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