Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Jonathan Nelson
Affiliation
Vermont Agency of Transportation Asset Management Bureau, Barre, VT, USA
Topic
Advanced Driver Assistance Systems,Asset Management,Automotive Industry,Autonomous Vehicles,Benchmark,Bounding Box,Computer Vision,Convolutional Network,Convolutional Neural Network,Deep Learning,Deep Neural Network,Handcrafted Features,Hyperparameter Tuning,Light Signal,Machine Learning,Major Towns,Object Detection,Range Of Signs,Region Of Interest Extraction,Region Proposal,Road Users,Sign Detection,Single Shot Multibox Detector,Speed Limit,Stop Sign,Traffic Regulations,Variant Classification,Warning Signals,Work Domain,
Biography
Jonathan Nelson received the Ph.D. degree in geography from the Pennsylvania State University. He is a past trainee at the NSF Big Data Social Science IGERT. He is currently a Geographic Information Systems Professional with the Vermont Agency of Transportation’s Asset Management Bureau. His research interests include cartography, GIScience, human–computer/data interaction, and visual analytics. His work emphasizes the role of visualization in making data more accessible, usable, and useful.