57 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- United States ArmyUS4 papers
- Oakland UniversityUS2 papers
- United States Army Combat Capabilities Development CommandUS2 papers
- University of MichiganUS2 papers
- Clemson UniversityUS1 paper
- Robotic Research (United States)US1 paper
- Toyota Motor North America Research & Development (United States)US1 paper
- Toyota Research Institute1 paper
- United States Department of the ArmyUS1 paper
5 papers
Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters
Tanmay Vilas Samak, Chinmay Vilas Samak, Joey Binz +5
Off-road autonomy validation presents unique challenges due to the unpredictable and dynamic nature of off-road environments. Traditional methods focusing on sequentially sweeping…
Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing
Hannah Bradley, Steven Louis, Cody Trevillian +4
Spiking artificial neurons emulate the voltage spikes of biological neurons, and constitute the building blocks of a new class of energy efficient, neuromorphic computing systems.…
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
Ruikun Luo, Yifan Weng, Yifan Wang +7
Haptic shared control is used to manage the control authority allocation between a human and an autonomous agent in semi-autonomous driving. Existing haptic shared control schemes,…
Online terrain estimation for autonomous vehicles on deformable terrains
James Dallas, Kshitij Jain, Zheng Dong +3
In this work, a terrain estimation framework is developed for autonomous vehicles operating on deformable terrains. Previous work in this area usually relies on steady state tire o…
Evidence Feed Forward Hidden Markov Model: A New Type of Hidden Markov Model
Michael DelRose, Christian Wagner, Philip Frederick
The ability to predict the intentions of people based solely on their visual actions is a skill only performed by humans and animals. The intelligence of current computer algorithm…