GIS&IT Story

“Self-driving Research in Review: CVPR 2019 Digest” by Lyft Level 5 https://link.medium.com/8N8m6VIiL1

“Create location-based stories with minimal code” by Mapbox https://link.medium.com/h9xOZ6z5n1

로드뷰 촬영시 저가의 라이다로 촬영 동시에 뎁스맵 생성 시설의 위치를 정확히 예측하여 시설물과 같은 곳에서 좀 더 현장감있게 활용 가능 http://m.elec4.co.kr/article/articleView.asp?idx=24016&fbclid=IwAR27akrti0aBOujgIcz_OZ4gnbeyj3Ck0jFftvZFvG_kvcPsTKCTmHbkMQc 자율주행 위해 시작한 공간정보, 스마트시티에 먼저 적용합니다 자율주행 위해 시작한 공간정보, 스마트시티에 먼저 적용합니다 2019-09-06 전동엽 기자, imdy@elec4.co.kr 인터뷰 스트리스(Stryx) 박일석 대표 영상과 센서 정보 결합해, 측정 즉시 사용가능한 데이터 생성 스트리스(Stryx)는 흔히 ‘스트리트뷰’라고 불리는 파노라마 이미..

“Filling in the gaps: How Mapillary uses PyTorch to improve maps everywhere and for everyone” by PyTorch https://link.medium.com/RFhuq7J330

“Loading Data from OpenStreetMap with Python and the Overpass API” by Nikolai Janakiev https://link.medium.com/GkRdGhEOO0

“Using Image Segmentation to identify Rooftops in low-resolution Satellite images” by Rudradeb Mitra https://link.medium.com/RxrzDnCMO0

“How Lyft Creates Hyper-Accurate Maps from Open-Source Maps and Real-Time Data” by Albert Yuen https://link.medium.com/YpGug6vR4Z

https://www.notion.so/3ca983ad90b94e2abb1263cdaa9446c6

5 Amazing Deep Learning Projects In 2019 - Robots.net https://robots.net/ai/deep-learning/deep-learning-projects/

Korean startup MOBILTECH playing an important role with 3D scanners in the autonomous driving field - koreatechdesk https://koreatechdesk.com/korean-startup-mobiltech-playing-an-important-role-with-3d-scanners-in-the-autonomous-driving-field/