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

  • MTA looks to Lidar and AI
    July 7, 2022
    New York's transport authority turns towards new tech to solve age-old signalling issues
  • VTT's autonomous cars take to public roads
    May 18, 2017
    The autonomous cars developed by VTT Technical Research Centre of Finland are able to exchange information with each other and their driving environment. They are able to follow a pre-programmed route and avoid collisions with sudden obstacles without input from the driver. The cars currently require the lane markings or sides of the road to be visible. However, by 2020, VTT says the cars will be driving in more demanding conditions on roads covered in gravel and snow. The autonomous cars feature a thermal
  • Woven Planet maps future with Carmera
    July 16, 2021
    Autonomous vehicle mapping specialist to be acquired by Toyota Motor Corp subsidiary
  • Machine vision offers new solutions to old problems
    October 28, 2014
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person