Machine Learning & AI in Automated Map Making

Machine Learning & AI in Automated Map Making

Sumedh Rasal

Q-Transformers: Making Sense of Advanced AI

In a world increasingly shaped by AI, it’s easy to feel overwhelmed by the jargon and technicalities. But fret not, because we’re here to…

3 min readOct 9, 2023

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Pallawi

Exploring Paddle-OCR: Performance on Diverse Data Formats and Multilingual Text

This blog stems from my curiosity to research the performance of Paddle-OCR, a robust and versatile optical character recognition (OCR)…

4 min readSep 18, 2023

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Exploring Paddle-OCR: Performance on Diverse Data Formats and Multilingual Text

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Sumedh Rasal

Comparing LAS Files: A Chamfer Distance Approach

LAS (LIDAR data exchange format) files have become indispensable tools in solving real-world problems, particularly in fields like geology…

3 min readSep 15, 2023

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Sumedh Rasal

Enhancing Vehicle Safety And Driving Experience: How Technology Fixes Lane And Road Boundary…

Introduction

4 min readSep 3, 2023

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Pallawi

A quick and step-by-step guide to run Segment Anything Research by Meta AI on a GPU-Linux machine

Segment Anything model (SAM) Keypoints:

7 min readApr 18, 2023

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A quick and step-by-step guide to run Segment Anything Research by Meta AI on a GPU-Linux machine

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Pallawi

Advancement of Paddle-OCR over time-An excellent Ablation

My thoughts on building an OCR system

12 min readMar 21, 2023

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Advancement of Paddle-OCR over time-An excellent Ablation

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Ofer Melnik

Signatures: Augmented Reality at the world scale

HERE Technologies is foremost a mapping company, a company trying to capture reality and represent it as a map, a format that’s as old as…

6 min readMar 23, 2022

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Signatures: Augmented Reality at the world scale

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Abhilshit Soni

Analysing an Aerial LiDAR Point Cloud dataset

LiDAR data is an integral part of any map making company. Captured in-house or procured from a vendor, map making companies rely on LiDAR…

7 min readNov 26, 2021

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Analysing an Aerial LiDAR Point Cloud dataset

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Xiaoying Jin

Potential Applications of Semi-Supervised and Self-Supervised Learning for Automated Map Making and…

Use Unlabeled Data in Machine Learning

5 min readJul 28, 2021

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Potential Applications of Semi-Supervised and Self-Supervised Learning for Automated Map Making and…

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Xiaoying Jin

Potential Applications of Perception for Automated Map Making and Autonomous Vehicles — CVPR 2021

Topics: Perception, Deep Learning, Map Making, Autonomous Vehicles, Object Detection, Semantic Segmentation, Instance Segmentation…

7 min readJul 22, 2021

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Potential Applications of Perception for Automated Map Making and Autonomous Vehicles — CVPR 2021

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Curated cutting edge AI & ML research articles from industry scientists working on Device, Edge, Cloud and Hybrid deployable intelligent location systems enriching navigation and safety.
Editors
Sanjay Boddhu
Souham Biswas
Senior Data Scientist at HERE Maps (a BMW, Audi & Daimler company) | Writer at TowardsDataScience | Musician
Landis Huffman

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