activity
20182026
most citedOnline terrain estimation for autonomous vehicles on deformable terrains

57 citations · 65 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.MS2020★ 2 cited

NLOptControl: A modeling language for solving optimal control problems

Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein +1

Current direct-collocation-based optimal control software is either easy to use or fast, but not both. This is a major limitation for users that are trying to formulate complex opt…

cs.HC2020★ 3 cited

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,…

cs.LG2020

An Active Learning Framework for Constructing High-fidelity Mobility Maps

Gary R. Marple, David Gorsich, Paramsothy Jayakumar +1

A mobility map, which provides maximum achievable speed on a given terrain, is essential for path planning of autonomous ground vehicles in off-road settings. While physics-based s…

eess.SP2020★ 1 cited

Neural network based terramechanics modeling and estimation for deformable terrains

James Dallas, Michael P. Cole, Paramsothy Jayakumar +1

In this work, a neural network based terramechanics model and terrain estimator are presented with an outlook for optimal control applications such as model predictive control. Rec…

eess.SY2020

Real-time trajectory planning for automated vehicle safety and performance in dynamic environments

Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein +1

Safe trajectory planning for high-performance automated vehicles in an environment with both static and moving obstacles is a challenging problem. Part of the challenge is developi…