Category Archives: Deep Learning

Reality Sets in For the Automous Vehicle Startups

Posted on February 26, 2020 by lidar

Over the past decade almost US$200 billion has been invested globally in mobility technology that promises to improve our ability to get around. More than US$33 billion was invested last year alone. Another measure of interest in this area is … Continue reading →

Posted in 3D Modeling, AI, artifical perception, Autonomous vehicles, Business Development, computer vision, Consumer, Deep Learning, driverless vehicles, Flash LiDAR, Government, Laser Scanning, Lidar, machine learning, Mapping, Radar, Research, Robots, Sensors, Young Geospatial Professional | Tagged e-scooters, electric vehicles, mobility as a service, ride hailing, venture capital | Leave a comment

Planting Trees is not the Solution to Climate Change

Posted on February 9, 2020 by lidar

This morning, I spoke to Pachama’s co-founder and CEO, Diego Saez Gil–a graduate of the Y combinator who brings machine learning to the complex tree planting business. Pachama ensures in brief that the planting comes to action when an organization … Continue reading →

Posted in 3D Modeling, Agriculture, AI, airborne LiDAR, artificial intelligence, Data, Deep Learning, Drones, Environmental, Forestry, Government, Lidar, Orgs, remote sensing, Research, Software, Surveying, UAS, UAVs, Young Geospatial Professional | Tagged carbon offset, ETH Zurich, fossil energy, Microsoft, Pachama, pollution, trees, Trillion Trees, World Economic Forum | Leave a comment

Waymo Database Access for Academic Research

Posted on January 11, 2020 by lidar

Academic researchers have now been granted access to the Waymo database, amassed by its fleet of self-driving cars. The move is a way to “give back to the community,” says Drago Anguelov, Waymo’s head of research, “not an admission in … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Cloud, computer vision, Consumer, Data, Deep Learning, driverless vehicles, Laser Scanning, Lidar, machine learning, Mapping, point clouds, Research, Software | Tagged academic research, IEEE Spectrum, labels, Lyft, Safety, Waymo | Leave a comment

Prediction – The 2020’s Will be the Lidar Decade

Posted on January 1, 2020 by lidar

I am putting my reputation on the line with this prediction – the 2020’s will be the Lidar Decade in that the consumer will become as familiar with the term and make use of it in daily conversation as they … Continue reading →

Posted in airborne LiDAR, artificial intelligence, Augmented reality, Autonomous vehicles, Business Development, computer vision, Consumer, Deep Learning, Digital Transformation, GPS, Internet of Things, Lidar, machine learning, Radar, Technology, The Industry, Young Geospatial Professional | Tagged 5G, Autonomous Vehicles, Internet of the Built Environment | Leave a comment

Rapid Archaeology Supported by Airborne Lidar

Posted on October 13, 2019 by lidar

Archaeologists in Scotland, using what some are referring to as rapid archaeology have concluded a cutting-edge project which has revealed around 1,000 previously unknown sites on the Isle of Arran. From an article in Ancient Origins by Ashely Cowie. There … Continue reading →

Posted in 3D Modeling, Agriculture, AI, airborne LiDAR, archaeology, artifical perception, artificial intelligence, cultural heritage, Deep Learning, Government, Historic Preservation, Lidar, machine learning, Mapping, Photogrammetry, remote sensing, Research | Tagged BBC, bronze age, Canmore, Firth of Clyde, Historic Environment Scotland, Isle of Arran, Rapid Archaeology, Scotland | Leave a comment

Transforming Urban Cores into Smart Cities

Posted on September 18, 2019 by lidar

From an article on Lidar News entitled “Transforming Urban Cores Into Smart Cities with Mobility Data and AI.” Becoming a Smart City For the first time in history there are more people living in cities than in rural areas; this … Continue reading →

Posted in 3D Modeling, AI, artificial intelligence, Autonomous vehicles, Business Development, Cloud, computer vision, Construction, Data, Deep Learning, Digital Transformation, driverless vehicles, GIS, Government, Infrastructure, intelligent cities, Internet of Things, machine learning, Mapping, Sensors, smart cities, Software | Tagged Allvision, assets, Built Environment, curb management, IoT, Singapore, SLAM, UN, Urban | Leave a comment

Autonomous Lidar Vehicle Designer is Legally Blind

Posted on September 15, 2019 by lidar

Nico Gentry has always loved cars. “I wanted so badly to get my permit and eventually my driver’s license,” the 25-year-old manufacturing engineer from Orlando, Florida, told me in a recent phone call. But a neurological disorder called nystagmus that … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, computer vision, Deep Learning, driverless vehicles, Lidar, Research, Robots, Safety, Sensors, solid state lidar, Visualization | Tagged legallyblind, Luminar, Lyft, mobility, Uber, visuallly impaired | Leave a comment

Neural Network on a Chip Designed by Tesla

Posted on August 27, 2019 by lidar

The building block of a human nervous system is a neuron and millions of them form a neural network in the body’s central nervous system. To make autonomous cars a reality, computer scientists need to create artificial neural networks (ANNs) … Continue reading →

Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Deep Learning, driverless vehicles, Hardware, Laser Scanning, Lidar, machine learning, Photogrammetry, Research, Sensors, Visualization | Tagged Bosch, Cornell University, Nvidia, Tesla | Leave a comment

Geomatics Professional versus Licensed Land Surveyor

Posted on July 25, 2019 by lidar

The term “surveyor” has tremendous historical significance dating back to the Egyptian “rope stretchers,” but I think the time has come for the idea of the geomatics professional to emerge. The digital transformation began in the 1950’s for the surveying … Continue reading →

Posted in 3D Modeling, AI, artificial intelligence, Autonomous vehicles, Business Development, Deep Learning, Digital Transformation, driverless vehicles, Education, geodetic, Geomatics, GIS, GNSS, Government, GPS, intelligent cities, Internet of Things, Laser Scanning, Lidar, Mapping, Robots, Sensors, smart cities, Surveying, Surveying Engineering, Technology, UAS, UAVs, Young Geospatial Professional | Tagged drones, land surveying | 1 Comment

Solid-State Lidar Could be a Game Changer for Autonomous

Posted on May 27, 2019 by lidar

On the surface it certainly seems like solid-state lidar has many advantages over electromechanical systems and that VCSEL is the leading ship design. From an article in All About Circuits. ams, a leading worldwide supplier of high-performance sensor solutions, announced … Continue reading →

Posted in AI, artificial intelligence, Autonomous vehicles, computer vision, Consumer, Deep Learning, Hardware, Laser Scanning, Lidar, remote sensing, Research, Sensors, solid state, solid state lidar | Tagged ams, edge-emitting, IBEO Automotive, Radar, VCSEL, ZF Friedrichshafen | Leave a comment