2 papers
cs.RO2022
Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments
Maneekwan Toyungyernsub, Esen Yel, Jiachen Li +1
Detection and segmentation of moving obstacles, along with prediction of the future occupancy states of the local environment, are essential for autonomous vehicles to proactively…
cs.RO2020
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
Ransalu Senanayake, Maneekwan Toyungyernsub, Mingyu Wang +2
We can use driving data collected over a long period of time to extract rich information about how vehicles behave in different areas of the roads. In this paper, we introduce the…