This paper describes a novel approach for scene aware navigation in rough off-road
environments using behavior-based control, graph-like world descriptions, and ontologies to …

These days, agricultural tasks are getting more and more complex due to the increasing
world population. Much research is going on in the area of mobile agricultural robots that …

Climate researchers predict that heavy rain and flooding are becoming more frequent due to
global warming. Flooding alters environments by raising the water level, creating new …

Automating forestry tasks with intelligent mobile machines requires high-quality localization,
which is impossible in dense forests with conventional methods. Accordingly, this paper …

Autonomous road construction offers the possibility to improve the demanding and error-
prone process of road compaction. Compaction results and surface coverage are optimized …

An off-road environment is characterized by multiple objects, often ambiguous in nature. The
challenges associated with autonomous navigation in off-road environments are numerous …

This paper proposes an approach and workflow for autonomous control of implements and
vehicles in agriculture. We introduce a control and communication concept for this purpose …

In Indiana, roadside mowing operations span over 11,000 miles and are performed by
contracted crews using tractors and hand-held trimmers, exposing workers to significant …

We propose a novel Light Detection And Ranging (LiDAR) simulation method using Unreal
Engine's Niagara particle system. Instead of performing the ray traces sequentially on the …

With the development of machine learning techniques and increase in their precision, they
are used in different aspects of autonomous driving. One application is end-to-end driving …