As the field of advanced driver assistance systems (ADAS) continues to push towards autonomy, it’s all hands on deck for the components making it happen. Which one holds the most promise? Let’s delve deeper into the nuances of the sensor showdown – LiDAR, radar, and camera technology and explore how each one contributes to the success of fully autonomous operations.
From an article in Fleet Equipment by Tess Lovrak.
LiDAR, which stands for light detection and ranging, is a remote sensing technology that uses laser beams and a pulse of light to measure the distance between the sensor and objects in the environment. This provides a detailed 3D map of the truck’s surroundings allowing it to better navigate the landscape. LiDAR sensors can detect and classify objects like other vehicles, people, and potential obstacles in real time. Typically, the component is mounted on the side of the truck near the roof fairing or sun visor area. However, the roughness of the road can be a concern for its durability.
Radar, which stands for radio detection and ranging, is a technology that utilizes radio waves to determine the range, angle and velocity of surrounding objects. Even in poor visibility conditions like fog, rain and dust, radar sensors can detect and track moving objects within their range. This is ideal for heavy-duty operations taking place in challenging environments. This is the primary technology used for familiar technology we have today like adaptive cruise and automatic brake assist
Radar sensors can also provide information on the vehicle’s own speed, allowing it to maintain a safe distance from other vehicles on the road.
The tried and true camera technology is the use of visual sensors to capture images or videos of the environment. In heavy-duty operations, cameras can be used for a variety of purposes, such as object detection, traffic sign recognition, lane departure warning and driver monitoring.
For the complete article on the sensor showdown CLICK HERE.
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