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Category Archives: Deep Learning
Reality Sets in For the Automous Vehicle Startups
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
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Waymo Database Access for Academic Research
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
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Prediction – The 2020’s Will be the Lidar Decade
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
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Rapid Archaeology Supported by Airborne 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
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Transforming Urban Cores into Smart Cities
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
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Autonomous Lidar Vehicle Designer is Legally Blind
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
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Neural Network on a Chip Designed by Tesla
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
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Solid-State Lidar Could be a Game Changer for Autonomous
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