Learning-Deep-Learning

PolyMapper: Topological Map Extraction From Overhead Images

August 2020

tl;dr: Map buildings and roads as polygon.

Overall impression

Identify keypoints first, then starting with one arbitrary one vertex, connect them according to the Left/Right hand rule (or Maze solving algorithm), then there is one unique way to define the graph.

The following work are focused on road network discovery and are NOT focused on HD maps.

Polyline loss and DAGMapper focuses on HD mapping tasks with lane-level information.

Road network extraction is still very helpful for routing purposes, but lack the fine detail and accuracy needed for a safe localization and motion planning of an autonomous car.

Key ideas

Technical details

Notes