What sensors are generally configured for driverless cars?

It is not easy for driverless cars to pay attention to road conditions, understand traffic signs, detect and classify objects, and perceive speed/trajectory and other vehicles. More importantly, it must be able to locate itself on the map in order to know the destination accurately.

When tracking the surrounding environment, driverless cars must rely on many sensors, including cameras, radars, ultrasonic waves, GPS antennas and lidar components that use light pulses to measure distance. Each sensor has its advantages and disadvantages.

Extended data:

First of all, we should figure out how to fill the inherent defects of the sensor most effectively. The second step may be more important, that is, to formulate the best strategy to combine different data streams so that key information will not be lost. It is already a problem that each sensor transmits data at its own image update rate, and sensor fusion is more complicated-some sensors provide original data, while others provide their own answers to object data.

20 17 we have seen a series of progress in sensing technology. Phil Magney, founder and head of VSI Lab, said: "Perception is a major area of driverless car software stack, and there are many innovations in this area." .

Technology companies, first-class suppliers and OEMs have been trying to acquire sensor technologies that their companies lack or cannot independently develop. At the same time, there have been many sensor startups in the past two years, many of which are concerned about the driverless car market that is still in its infancy.