Sep 2026· Journal of Autonomous Vehicles and Systems· 0 citations
Abstract
This paper presents a detailed description of the design and development process of the Deep Orange 14 vehicle, a full-scale tracked, skid-steered autonomous research prototype developed in Clemson University's Deep Orange program, together with the accompanying multisurface dataset for off-road vehicle dynamics research. The 3-ton series-hybrid platform was developed in collaboration with the U.S. Army DEVCOM Ground Vehicle Systems Center (GVSC) to support remote reconnaissance, disaster relief operations and advanced data collection. Multidisciplinary challenges in systems integration, spanning autonomy, powertrain, control, and operational safety, were addressed using state-of-the-art hardware through a multi-year effort by a team of 31 graduate students, three faculty, and four staff members. The paper summarizes the vehicle requirements, system architecture, control and safety systems, autonomy integration, instrumentation, validation testing, and data-processing workflow. It relates the prototype design decisions to the resulting dataset and provides a reference for researchers developing full-scale autonomous ground vehicle platforms and dynamics-focused datasets.
A large-scale simulation platform for off-road autonomous driving generated in the Unity3D engine that facilitates progress for systematic evaluation of learning-based autonomous driving models in unstructured, safety-critical environments.
Timothy Ross, Julia Boone, Fatemeh Afghah· SAE technical paper series· 0 citations
MMUSV-Sim, a perception-oriented maritime simulation and data-generation platform built on Unreal Engine 5 and Project AirSim, provides island, open-sea, and port environments; configurable weather, time of day, and wave conditions; a diverse vessel asset library; and spline-based multi-vessel motion.
Ziao Li, Jianxiong Ye, Biao Tang et al.· 0 citations
This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniature Ackermann vehicles. The platform combines a physical vehicle, a printed urban track, data collection tools, trajectory registration, and a Webots digital twin, enabling controlled experiments that con...
Gustavo Claudio Karl Couto, Eric A. Antonelo, Gabriel George Zipperer· 1 citation
Experimental evaluation on real-world data across diverse critical scenarios, representative of challenging edge cases also in urban driving, confirms the effectiveness of the proposed pipeline and its suitability to support safe and adaptive planning decisions.
Davide Malvezzi, Michele Pestarino, Vittoria Cavicchioli et al.· 0 citations
Preliminary evidence from multi-vehicle collaborative experimentation, code and experimental-skill sharing, and software-hardware collaborative testing shows that experimental records can be examined together with their operating conditions, providing a reviewable basis for Apollo-on-Hongqi EV research.
Dianjing Cheng, Yike Li, Lan Yang et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.