smaller objects than radar.
Contrary to camera systems (which view the
environment in focal planes), LiDAR delivers an accurate
detailed 3D profile. This method makes it much easier
to distinguish objects in front or behind them, regardless
of the lighting conditions at that time. Furthermore, the
imaging data can be captured and processed much faster.
As LiDAR technology begins to mature and the costs
reduce, there will be greater interest in its application
within vehicle designs.
Ultimately, there needs to be significant improvements
over the course of the coming years in relation to the
key performance parameters of sensors like dynamic
range, accuracy, responsiveness, etc. At the same time,
it’s clear that certain attributes like robustness and ease
of integration, will also have heightened value. It’s no
longer going to be about just providing the sensor devices,
but to deliver complete solutions (whether these are
customized or standard of the shelf ones). As tolerances
tightens and signal-to-noise ratios become more critical,
car manufacturers will require enhanced sensor interface
technology to accompany the sensing element. There
are also certain to be opportunities for sensor fusion, so
that data from multiple sources can be simultaneously
analyzed. Through the advances now being made in sensor
devices, the automobile industry will bring safer models
to market that are more fuel efficient, and offer greater
comfort. In time they will also enable the unquestionable
benefits of vehicle automation to be derived. ECN
Figure 1: Typical applications for the Time-of-Flight (ToF) chipset include gesture recognition, driver monitoring, and
occupant detection in automotive applications.
Fully Integrated Display
Data Image USA - www.dataimagelcd.com - 407.478.4064