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. 
 

Related Content

  • February 3, 2012
    Reducing detection costs benefits intersection management
    The continuing, favourable performance-versus-cost situation concerning detection and monitoring technologies is driving the proliferation of intelligence across road networks. The effective and safe management of intersections is a focus for network operators and systems manufacturers alike. The most complicated of road environments, and statistically among the least safe, intersections enjoy particular emphasis in longer-term work on cooperative infrastructure solutions. However there are current developm
  • July 28, 2016
    Ford, MIT project measures pedestrian traffic, predict demand for electric shuttles
    Ford Motor Company and the Massachusetts Institute of Technology are collaborating on a new research project that measures how pedestrians move in urban areas to improve certain public transportation services, such as ride-hailing and point-to-point shuttles services. The project will introduce a fleet of on-demand electric vehicle shuttles that operate on both city roads and campus walkways on the university’s campus. The vehicles use LiDAR sensors and cameras to measure pedestrian flow, which ultimate
  • December 13, 2013
    Daimler’s double take sees machine vision move in-vehicle
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy
  • December 16, 2015
    Ford to begin testing autonomous cars on California’s roads
    Fully autonomous Ford Fusion Hybrid sedans are taking to California streets next year, as Ford Research and Innovation Centre in Palo Alto continues growing. Ford is officially enrolled in the California Autonomous Vehicle Testing Program to test autonomous vehicles on public roads. The testing is a further advance of Ford’s ten-year autonomous vehicle development program and a key element of Ford Smart Mobility, the plan to take the company to the next level in connectivity, mobility, autonomous vehicle