Velodyne Lidar Sensors Power 3D Data Capture in New NavVis VLX Mapping System

Its compact, versatile design enables the system to map small, fragmented and narrow spaces as well as environments with many obstacles and uneven terrain.

Musashi AI Technology for Dynamic Environments

Musashi AI's technology allows integration with existing sites, retrofitting robots in to existing workplaces rather than having to invest in costly new facilities.

MARS - Mobile Arm Robot System

In response to the growing demand for improved robotic assistance in industry sectors such as retail and light industry, we created MARS, the Mobile Arm Robot System, a robot with more sophisticated autonomous navigation and inspection capabilities.

Deep Learning Enables Real-Time Imaging Around Corners

Researchers used deep learning to create a new laser-based system that can image around corners in real time. The systems might one day let self-driving cars "look" around parked cars or busy intersections.

How to Make Autonomous Driving Safe

To achieve large-scale commercialization of autonomous vehicles, a new generation of high-precision 3D environment sensing solid-state LiDAR technology products will be required to fulfill the industry's strict requirements.

LIDAR: How Smart Active Alignment Mechanisms can Reduce Manufacturing Costs

Today, tantalizing futuristic transportation applications have motivated this mushrooming industry to develop an impressive array of clever new implementations, accompanied by a wave of investment from venture capitalists, software giants, and established players ...

Velodyne Lidar Discusses the Future of Self-Driving Cars with Next-Generation Engineers

Student Engineers Participating in 3-Year AutoDrive Challenge Are Working to Invent Autonomous Vehicle Future.

LiDAR Solution for Mass Production and Adoption

LiDAR offers a number of advantages over other perception solutions, enabling smart machines to "see" far distances and generate a 3D representation of their surrounding environment to detect obstacles and make intelligent navigation decisions.

A Guide to Lasers for Robots (Part 2)

Keep in mind that sensor manufacturers are in direct competition with each other. This means specifications can sometimes be put on a slightly over-optimistic spin. For example, range specifications are sometimes measured using retro-reflective targets

How a "Wild Idea" About LiDAR Transformed the Aerial Mapping Industry

In 2012, Phoenix LiDAR CEO Grayson Omans had the revolutionary idea to mount a Velodyne LiDAR sensor on a UAV-and he transformed the aerial mapping industry in the process.

LiDAR 101: A Q&A with a Pictometry Expert

Because LiDAR uses light, the target must be visible, so it is not an all-weather solution. It wont work well in fog or other weather conditions that affect visibility, but if conditions are clear, it can operate during both day and night.

Analog Devices Acquires Laser Beam Steering Technology from Vescent Photonics to Enable Mainstream Adoption of Automotive LIDAR Systems

This acquisition strengthens ADIs position as a major automotive safety system technology partner for next generation ADAS and autonomous driving applications and builds on ADIs 20-year history in advancing automotive safety.

Low-cost, LiDAR-based Navigation for Mobile Robotics

Using the ROS Navigation suite from the Open Source Robotics Foundation (OSRF), we highlight a solution employing the Rhoeby Dynamics R2D LiDAR, a low-cost LiDAR device

Optical Time-of-Flight Sensing Technology

Focuses on Unmanned Automotive Technologies at RoboBusiness

Robots 101 - Lasers

Almost all robots today use lasers for remote sensing. This means that the robot is able to tell, from a distance, some characteristics of an object.

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