Valeo, the global leader in driving assistance systems (ADAS), today unveiled the third generation of their LiDAR (light detection and ranging).
The new optical measurement technology will make its market debut in 2024.
Valeo’s third generation LiDAR delivers unmatched performance, resolution and frame rate. It reconstructs a real-time 3D image of the vehicle’s surroundings at a speed of 4.5 million pixels and 25 frames per second. Compared to the previous generation, the resolution has been increased 12 times, the range 3 times and the viewing angle 2.5 times.
The new measurement technology offers significantly improved performance and makes autonomous mobility a reality, while at the same time lifting road safety to new levels.
– The third generation of LiDAR from Valeo is a major technological advancement for the driverless vehicles of the future. This upgrade strengthens Valeo’s technical and industrial position in the field, a company that is the only supplier on the market that currently mass-produces a LiDAR vehicle scanner. Our main goal with this device remains the same – to save lives on the roads, says Geoffrey Bouquot, Valeo’s Senior Vice President, R&D and Strategy.
Thanks to its unique ability to read its surroundings, this new LiDAR can see things that humans, cameras and radar cannot. This means that driving can be delegated to the vehicle in many situations (automation level 2 and higher), including on the highway at speeds up to 130 kilometers per hour. Even in such situations, a vehicle equipped with third-generation LiDAR can handle emergencies completely autonomously.
Valeo’s LiDAR detects, recognizes and classifies all objects around the car. If the objects move, it measures their speed and direction. The LiDAR scan can be adapted to all lighting conditions, whether it is dazzling light or carbon black. It even measures the density of raindrops to calculate the correct braking distance. It tracks nearby vehicles even when they are no longer in the driver’s field of vision, and uses algorithms to predict their lanes and trigger necessary safety maneuvers.
Source: IT-Kanalen by it-kanalen.dk.
*The article has been translated based on the content of IT-Kanalen by it-kanalen.dk. If there is any problem regarding the content, copyright, please leave a report below the article. We will try to process as quickly as possible to protect the rights of the author. Thank you very much!
*We just want readers to access information more quickly and easily with other multilingual content, instead of information only available in a certain language.
*We always respect the copyright of the content of the author and always include the original link of the source article.If the author disagrees, just leave the report below the article, the article will be edited or deleted at the request of the author. Thanks very much! Best regards!