Skip to main content

Velodyne develops Lidar sensor for AV mobility

Velodyne has released a Lidar solution which it says utilises surround-view technology to meet specifications for autonomous mobility. 
By Ben Spencer February 13, 2020 Read time: 1 min
Velodyne Alpha Prime (Source: Velodyne)

Velodyne claims Alpha Prime provides a 360-degree perception and a 40-degree vertical field of view while also providing capabilities that help improve vehicle safety and enable more precise mapping. 

The solution is expected to detect dark vehicles, low reflectivity pavement and low visibility pedestrians at long distances. The sensor offers advanced negative obstacle detection perception for potholes and cracks in the road as well as high resolution and laser calibration to localise vehicles without a GPS, the company adds. 
 

For more information on companies in this article

Related Content

  • Airborne traffic monitoring - the future?
    March 1, 2013
    A new frontier in the quest to monitor road traffic is opening up… but using airborne drones to reduce the jams comes with some thorny issues. Chris Tindall reports. Imagine if you could rely on a system that provided all the data you needed to regulate traffic flow, route vehicles and respond swiftly to emergencies for a fraction of the cost of piloting a helicopter. That system exists, but as engineers and traffic managers start to explore the potential of unmanned aerial vehicles (UAVs) – more commonly k
  • Empowering Vision Zero decisions on Miovision One platform
    August 29, 2023
    Miovision One offers a 'unified interface for a seamless user experience', firm says
  • 3D perception & Lidar from Seoul Robotics
    March 31, 2022
    Human beings are unpredictable. Which gives drivers a problem when approaching a junction where pedestrians are crossing.
  • Tailored to vehicle imaging
    July 26, 2012
    JAI is launching two new high dynamic range CMOS cameras, the TS-4032EN (monochrome and TSC-4032EN (colour), tailored to demanding vehicle imaging and vehicle recognition applications in electronic toll collection, open road tolling, journey time information, speed enforcement, red light enforcement and homeland security.