Subscribe to Blog via Email
-
Recent Posts
Categories
- 3D Modeling
- 3D Printing
- Admin
- Agriculture
- AI
- airborne LiDAR
- AR/VR
- archaeology
- art
- artifical perception
- artificial intelligence
- atmospheric
- Augmented reality
- Autonomous vehicles
- bathymetric
- BIM
- Business Development
- BVLOS
- Cepton
- Certifications
- Civil Engineering
- Cloud
- computer vision
- Conferences
- Construction
- Consumer
- Covid-19
- cultural heritage
- Data
- Deep Learning
- DIAL
- Digital Transformation
- driverless vehicles
- Drones
- Education
- Entertainment
- Environmental
- Feature Extraction
- Flash LiDAR
- Forensics
- Forestry
- Forums
- Full waveform
- Games
- geodetic
- Geomatics
- GIS
- GNSS
- Government
- GPS
- Ground penetrating radar
- Hardware
- Historic Preservation
- Hydrographic LiDAR
- Indoor Mapping
- Infrastructure
- Inspection
- intelligent cities
- Internet of Things
- Laser Scanning
- Lidar
- LN Video of the Month
- machine learning
- Mapping
- Marketing
- medical
- Metrology
- military
- Mining
- Mobile LiDAR
- Online surveys
- Open Source
- Orgs
- Photogrammetry
- point clouds
- Quality
- Radar
- remote sensing
- Research
- reverse engineering
- Robots
- Rowing
- Safety
- satellites
- Security
- Sensors
- SLAM
- smart cities
- Software
- solid state
- solid state lidar
- Standards
- Structure from motion
- Surveying
- Surveying Engineering
- Technology
- The Industry
- topography
- training
- UAS
- UAVs
- Uncategorized
- Uncertainty
- US Army
- virtual reality
- Visualization
- visualizationj
- Weather
- Wind LiDAR
- Young Geospatial Professional
Archives
- September 2020
- August 2020
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- March 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- September 2014
- August 2014
- July 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- March 2013
- February 2013
- January 2013
- December 2012
- November 2012
- October 2012
- September 2012
- August 2012
- July 2012
- June 2012
- May 2012
- April 2012
- March 2012
- February 2012
- January 2012
- December 2011
- November 2011
- October 2011
- September 2011
- August 2011
- July 2011
- June 2011
- May 2011
- April 2011
- March 2011
- February 2011
- January 2011
- December 2010
- November 2010
- October 2010
- September 2010
- August 2010
- July 2010
- June 2010
- May 2010
- April 2010
- March 2010
- February 2010
- January 2010
- December 2009
- November 2009
- October 2009
- September 2009
- August 2009
- July 2009
- June 2009
- May 2009
- April 2009
- March 2009
- February 2009
- January 2009
Category Archives: Deep Learning
AI is Unlocking the Potential of Lidar Point Clouds
When it comes to big data, LIDAR is right up there with the biggest generators. But outside of a few niche use cases, LIDAR–which uses lasers to build a three-dimensional model of physical objects–has not been widely adopted. Now, a … Continue reading
Posted in 3D Modeling, AI, airborne LiDAR, artifical perception, artificial intelligence, Business Development, computer vision, Data, Deep Learning, Laser Scanning, Lidar, machine learning, Mapping, Marketing, point clouds, Research, Software, Visualization
Tagged AWS, Enview, GPU, unstructured data
Leave a comment
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
Leave a comment
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
Leave a comment
Deep Teaching Takes Humans Out of AV Training
How do you beat Tesla, Google, Uber and the entire multi-trillion dollar automotive industry with massive brands like Toyota, General Motors, and Volkswagen to a full self-driving car? Just maybe, by finding a way to train your AI systems that … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Data, Deep Learning, driverless vehicles, Government, Lidar, machine learning, Research, Software, Visualization
Tagged Deep Teaching, GM, Google, Helm.ai, simulation, Tesla, Uber
Leave a comment
Apple Awarded Patent for Remote Sensing
Patently Apple’s “Project Titan” archive holds dozens of Apple patents regarding future Apple vehicles from semi-autonomous to fully autonomous and electric vehicles. One of the many technologies that Apple has filed patents for is LiDAR in vehicles. Back in 2018 … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, Cloud, computer vision, Consumer, Data, Deep Learning, driverless vehicles, Hardware, Laser Scanning, Lidar, machine learning, point clouds, remote sensing, Research, Safety, Sensors, solid state lidar, Visualization
Tagged Apple, braking, light radar, Patents, Project Titan
Leave a comment
Waymo Will License Their Lidar Sensor Via Non-Compete
Many autonomous vehicle (AV) developers, including Waymo have been in hot pursuit of lidar technologies, which are important because of their ability to build 3D models of the environment around a car, an essential feature in the race for self-driving … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Deep Learning, driverless vehicles, Flash LiDAR, Government, Laser Scanning, Lidar, machine learning, point clouds, Research, Sensors, solid state lidar
Tagged field of view, GM Cruise, Laser Bear Honeycomb, mechanical, Mobileye AV, Waymo
Leave a comment
Autonomous Trucks Finding Some New Traction
Today during a briefing with members of the media, Waymo head of commercialization for autonomous trucks Charlie Jatt outlined the company’s go-to-market plans for Waymo Via, its self-driving delivery division. In the future, Waymo will partner with OEMs and Tier … Continue reading
Posted in 3D Modeling, AI, Autonomous vehicles, Business Development, Cloud, Covid-19, Deep Learning, driverless vehicles, Government, Lidar, machine learning, point clouds, Radar, Research, Safety
Tagged American Trucking Assoc., Aurora, Google, TuSimple, USDOT, Waymo
Leave a comment
Toyota Smart Vehicle Strategy Could Be the Winner
The automobile world is in quiet retreat on the topic of fully autonomous vehicles (AVs). As an excellent article by Steve LeVine in Marker described, vehicle autonomy is closely linked with ride-sharing, and in the pandemic era we’re going through, … Continue reading
Posted in AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, Consumer, Data, Deep Learning, driverless vehicles, Government, Laser Scanning, Lidar, Mapping, Research, Safety
Tagged Ford, GM, Musk, Tesla, Toyota Chauffer, Toyota Guardian, Toyota Research Institute
Leave a comment
Training Data for AVs is Key to Success
High-quality data is the fuel that powers AI algorithms. Without a continual flow of labeled training data, bottlenecks can occur and the algorithm will slowly get worse and add risk to the system. From an article in Tech Crunch by … Continue reading
Posted in 3D Modeling, AI, artifical perception, artificial intelligence, Autonomous vehicles, Business Development, computer vision, Consumer, Covid-19, Data, Deep Learning, driverless vehicles, Government, Hardware, Laser Scanning, Lidar, machine learning, Mapping, point clouds, Quality, Research, Safety, Sensors, Software, Technology, The Industry, training, Visualization
Tagged Airbnb, Cruise AV, Hesai, labeled data, open source, PandarGT lidar, PandaSet, Pinterest, Scale AI, Training Data Sets, Waymo, Zoox
Leave a comment