 This paper discusses the capabilities and limitations of various sensor technologies used for object recognition in unmanned ground vehicles, UGVs, operating in both civilian and military settings. It introduces a new manned-unmanned high-mobility vehicle, Tero, which is designed for both road and off-road operations. The paper then examines how dense vegetation and trees can impede the perception systems of these vehicles, leading to potential safety hazards or collisions. To address this issue, the paper uses recorded datasets to evaluate the performance of vision and laser-based sensors in practical applications. Finally, it outlines future directions for researchers to explore in order to overcome or minimize the identified challenges. This article was authored by Merrick Malakowski and Jakub Karilo.