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Category Archives: Autonomous vehicles
Cruise Announces the Continuous Learning Machine
Driverless startup Cruise today detailed a homegrown tool — the Continuous Learning Machine — that tackles on-the-road prediction tasks. Cruise claims the Continuous Learning Machine, which automatically labels and mines training data, allows some of the AI models guiding Cruise’s … Continue reading
Waymo Lidar Guru Explains Why He Returned to California
When Simon Verghese moved east for a postdoctoral spot at MIT, the UC Berkeley-trained physicist figured on being back in California before too long, but then Waymo started calling. “I thought it would be two years,” he said in an … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Cloud, computer vision, Consumer, Data, Deep Learning, driverless vehicles, Hardware, Lidar, point clouds, Research, Sensors, Software, solid state lidar
Tagged Alphabet Inc. Waymo, DARPA, Google, Lincoln Labs, MIT, Waymo Via
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Sensor Fusion Makes Sense for Autonomous Vehicles
The automotive industry remains divided on the sensor configuration needed to support autonomous driving. Tesla is resolute that cameras and radar systems will be sufficient, yet both systems have their shortcomings. Harman, a Samsung company believes safe automated and autonomous … Continue reading
AEC to BE – Do You Have the Skills to Make the Transition?
I suppose the mega-trend that sums up all of what is taking place concerning the transition from AEC to BE is digital transformation, but it sure feels like a lot more. Maybe the idea of Smart Cities sums it up … Continue reading
Posted in 3D Modeling, 3D Printing, AI, artifical perception, artificial intelligence, Augmented reality, Autonomous vehicles, BIM, computer vision, Construction, Digital Transformation, Environmental, Infrastructure, intelligent cities, Internet of Things, machine learning, Mapping, satellites, smart cities, Technology, UAS, UAVs
Tagged AEC, Built Environment, drones, Internet, PC
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Autonomous Vehicle Annotated Lidar Data Set for Simulation
Roughly a year ago, Scale and NuTonomy released an autonomous vehicle data set called NuScenes that they claimed at the time surpassed corpora like KITTI, Baidu’s ApolloScape, and the Udacity Self-Driving Car library in size, scale, and accuracy. Since then, … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Data, driverless vehicles, Feature Extraction, Laser Scanning, Lidar, Mobile LiDAR, Research, Safety, Sensors, Visualization, Young Geospatial Professional
Tagged Ford, Lyft, Motional, NuImages, NuScenes, NuTonomy, Scale, segmentation, Waymo
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Tethered Drone is Not Subject to FAA Part 107
Axon (Nasdaq: AAXN), the global leader in connected public safety technologies, today announced a partnership with Fotokite, a service provider of actively tethered Unmanned Aerial System (UAS) solutions and public safety software tools, to provide their products and services as … Continue reading
Posted in Autonomous vehicles, Business Development, Drones, Government, Hardware, military, Software, UAS, UAVs, Visualization
Tagged Axon Air, COA, evidence, FAA Part 107, fotokite, live streaming, public safety, situational awareness, video
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Michigan Will Create Real World Test Track
Michigan announced Thursday that it’s teaming with tech and auto companies to attempt to retrofit a roughly 40-mile stretch of two roads outside Detroit exclusively for self-driving vehicles. Michigan’s partners include Ford and Sidewalk Infrastructure Partners, a company that Alphabet … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, Consumer, Data, driverless vehicles, Government, Lidar, Mapping, point clouds, remote sensing, Research, Safety, smart cities, Technology, The Industry, Young Geospatial Professional
Tagged Alphabet Inc. Waymo, Alphabet Sidewalk Labs, BMW, Ford Autonomous Vehicles LLC, GM, Honda, Interstate 94, Michigan Avenue, Toyota
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Sensoris is an Important Step in the Right Direction
Imagine an industry-derived and supported standard for communicating between an autonomous vehicle and the cloud. Wouldn’t that solve a lot of problems and save a lot of time (equals money)? That is what SENSORIS –SENSOR Interface Specification is all about. … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Augmented reality, Autonomous vehicles, Business Development, Cloud, computer vision, Consumer, Data, machine learning, Mapping, Mobile LiDAR, Open Source, Orgs, point clouds, Research, Sensors, Software, Standards
Tagged interface specification, SENSORIS
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Look Out Uber and Lyft – Here comes Amazon
Amazon announced Friday that it will acquire Zoox, a self-driving startup founded in 2014 that has raised nearly $1 billion in funding and which aims to develop autonomous driving technology, including vehicles, for the purposes of providing a full-stack solution … Continue reading
Posted in AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, driverless vehicles, Hardware, Laser Scanning, Lidar, Research, Safety, Sensors, Technology, The Industry, Young Geospatial Professional
Tagged Amazon, Lyft, ride-hailing, Uber, Waymo, Zoox
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Depth Camera May Outperform Autonomous Vehicle Lidar
In 2013, Rajiv Laroia and Dave Grannan started Light, a company that aimed to disrupt the tiny camera market. The ultimate goal was to provide designs, circuitry, and software to mobile device manufacturers so that smartphones could capture images at … Continue reading