Abstract: Most existing simultaneous localization and mapping (SLAM) algorithms rely on static world assumptions and perform poorly in complex dynamic environments. In order to improve the accuracy ...
Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...
For four decades, a quiet boundary in pure mathematics kept a powerful theorem locked inside the safe world of finite quantities. Now a new result known as Sebestyen’s theorem has pushed that boundary ...
Abstract: Recently, autonomous vehicles have been used in dynamic environments for various automation applications, e.g., area coverage. Thus these missions require sophisticated learning planning to ...