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Velodyne Comes Up With Veladome, An Embeddable Lidar

The global leader in lidar technology rolled out an embeddable lidar that delivers a 180° x 180° image named as VelaDome™, for the avoidance of near-object. The company has also introduced software known as Vella™, which directs its directional view lidar sensor, Velarray™ dedicated for ADAS (advanced driver assistance systems).

The high-density image and hemispherical field of view of Veladome present a quantum leap in terms of cyclists, blind-spot, and pedestrian detection. This new technology is also poised to revolutionize some other driver assistance functionalities such as Automatic Emergency Braking, Lane Keeping Assist, and more important in Adaptive Cruise Control.

Focusing on its previous ventures (Velodyne), the inventor and leader in lidar sensors for autonomous vehicles in previous month also announced that Nikon Corporation would be a new strategic investor with an investment of $25 Million. The parties also declared that they have initiated negotiations for a multifaceted trade coalition. Nikon is one of the world’s leading suppliers of products and solutions based on advanced optoelectronics and precision technologies.

In order to merge Nikon’s precision and optical technologies with Velodyne’s sensor technology, the two companies began to explore a broad business relationship, including collaboration in the development and manufacture of technology.

Velodyne believes that this relationship will promote Lidar’s mass production and production schedule for the global, autonomous and advanced security market. Companies share a revolutionary vision of advanced sensing technologies for a wide range of applications comprising robotics, security, mapping, space shuttles, drones, and road safety.

“Velodyne creates a network of powerful alliances that support the global auto industry,” said David Hall, founder, and CEO of Velodyne Lidar. “One hundred years ago, optics techniques and cameras, like Nikon’s, helped people see better and now the bases of these technologies help computers to see.”

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