Products on Show
DAY 2: Solid-state lidar for accurate near-field perception and more
Velodyne Lidar EMEA is presenting its latest hardware and software solutions at the expo. Its Velarray M1600 solid-state sensor has been designed for autonomous applications in public, commercial and industrial environments and is optimized for accurate near-field detection for autonomous platforms.
The sensor has outstanding near-field perception for safe navigation in a variety of environmental conditions in a detection range of 0.1-30m, with 10% reflectivity in maximum range and a wide 32° vertical field of view that enables smooth operation, even in areas with a lot of movement.
Velodyne is also showcasing its Vella software and Vella Development Kit (VDK). VDK enables customers to connect the lidar sensors to a standard library of functions. In addition, it offers a wide range of opportunities to drive the development of solutions for constantly evolving applications and bring them to market.
Velodyne has been in discussions with various automotive players who all agree that lidar technology is crucial in the sensor mix for future autonomy. Indeed, the company’s sensors have long been an integral part of many autonomous shuttle programs worldwide.
The company claims that lidar technology has many advantages over other technologies. For instance, lidar simulations accelerate system development and deployment by delivering a virtual environment to test automated driving capabilities in a range of roadway, weather and lighting conditions. Simulations support testing of extreme scenarios including corner and edge cases, and potential hazards such as emergency braking and obstacle avoidance.
At the expo, Velodyne Lidar is also revealing more about its Intelligent Infrastructure Solution (IIS) that combines AI and lidar. This breakthrough hardware+software technology is designed to solve some of the most challenging and pervasive infrastructure problems.
With the company’s lidar sensors combined with Bluecity’s powerful AI software, users can monitor traffic networks and public spaces to generate real-time data analytics and predictions. This will improve traffic and crowd flow efficiency, advancing sustainability and protecting vulnerable road users in all weather and lighting conditions.