This work explores methodologies for dynamic trajectory generation for urban driving
environments by utilizing coarse global plan representations. In contrast to state-of-the-art …

Vector maps are essential in autonomous driving for tasks like localization and planning, yet
their creation and maintenance are notably costly. While recent advances in online vector …

Navigating a mobile robot through a curve path is a difficult task in both on-road and off-road
navigation. This research provides a hardware and software platform to address this issue …

This research work seeks to explore and identify strategies that can determine road topology
information in 2D and 3D under highly dynamic urban driving scenarios. To facilitate this …

In this paper, we propose a collision avoidance safety filter for autonomous electric scooters
to enable safe operation of such vehicles in pedestrian areas. In particular, we employ …

Recent research has found that navigation systems usually assume that all roads are
equally safe, directing drivers to dangerous routes, which led to catastrophic consequences …

This work introduces a new approach for joint detection of centerlines based on image data
by localizing the features jointly in 2D and 3D. In contrast to existing work that focuses on …

The vector map of road elements is critical for autonomous driving. It contains the
connectivity and topology information of the road for multiple downstream tasks of the …

This dissertation focuses on the challenges faced by autonomous driving in diverse weather
conditions, the illumination gap between night and day, and lossy communication (LC) on …

Autonomous bicycles have recently been proposed as a new and more efficient approach to
bicycle-sharing systems (BSS), but the corresponding environmental implications remain …