Automatic Map Generation for Autonomous Driving System Testing

Understand

High-definition (HD) maps are essential in testing autonomous driving systems (ADSs).

• HD maps essentially determine the potential diversity of the testing scenarios.
• However, the current HD maps suffer from two main limitations: lack of junction diversity in the publicly available HD maps and cost-consuming to build a new HD map.
• Hence, in this paper, we propose, FEAT2MAP, to automatically generate concise HD maps with scenario diversity guarantees.