Challenges in autonomous driving

With the development of automation technology and smart cities, autonomous driving becomes increasingly known by the public.

In near future, it is a tendency to build an intelligent network in which autonomous driving plays an important role. However, autonomous driving is now in the stage of L2 ADAS or below.

There are still some main problems the industry is facing:

01

Asynchrony between the establishment of regulations and development of autonomous driving related technology

02

Fears and doubts caused by safety accidents of autonomous driving

03

Autonomous driving highly depends on sensors, especially LiDAR which faces technical and cost challenges

Why is LiDAR important in self-driving?

After several safety accidents occurred in self-driving cars with cameras as sensors, the industry has become alarmed that unmanned vehicles cannot completely depend on camera as the eyes, but still needs the protection of LiDAR eyes. What problems does LiDAR solve?

  • LiDAR can work normally at night, while other sensors cannot.
  • LiDAR can continue to support autonomous driving and construct three-dimensional images when the visual computing power is insufficient in a visual corner (various boundaries).
  • LiDAR can avoid the fatal weakness in millimeter-wave radar which filters the static objects or fails to detect large numbers of small targets on the road.

LiDAR solution for autonomous driving

LiDAR includes two categories: mechanical LiDAR and solid-state LiDAR. Traditional mechanical rotating LiDAR is widely used on the market. However, it is almost impossible to pass the vehicle-level verification and cannot be installed front-end for vehicle applications due to the size and structure.

MEMS+1550nm laser is currently the only mature technical solution that can pass the vehicle-level certification, with lower cost and higher accuracy. Neuvition LiDAR has been focusing on the solid-state MEMS+1550nm technology and is one of the most advanced commercially LiDARs available in the market with many parameters ahead of the competition.

Neuvition's solid-state HD LiDAR uses MEMS micro-galvanometer plus 1550nm laser technology, which improves reliability but cuts cost. Titan M1-Pro LiDAR has a high resolution of 480 lines, a FOV of 120 °, and an effective detection distance of 200 meters. The super performance and significant improvement on safety for autonomous driving make Titan M1-Pro the best solid-state LiDAR for self-driving cars.

Neuvition LiDAR recommended:

Titan M1-Pro
Titan M1-Pro
  • Main front view LiDAR sensor for autonomous driving, one unit per vehicle
  • Best installed on the front window panel under the roof
  • Large 120 degree horizontal field of view
  • Distance up to 200 meters
  • Up to 2.7 M data point per second
  • High resolution to 480 lines
  • Capable of object recognition and target tracking
  • Structural data output of recognition results in real-time
Titan M1-Pro

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