3 citations · 5 across the 14 of their papers we have counts for
15 papers
3D Lane Detection with Odometry for High-Speed Vehicle Racing
Omoruyi Atekha, John Subosits, Marcus Greiff
Lane boundary detection is a critical component in autonomous driving systems and has been rigorously studied in regular driving scenarios. However, it is less explored in vehicle…
Generalized-CVO: Fast and Correspondence-Free Local Point Cloud Registration with Second Order Riemannian Optimization
Ray Zhang, Marcus Greiff, Thomas Lew +1
We propose a fast and correspondence-free local point cloud registration method that leverages geometric surface structure and reproducing kernel Hilbert space (RKHS) embeddings. T…
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models
Paul Brunzema, Thomas Lew, Ray Zhang +3
Agile control of robotic systems often requires anticipating how the environment affects system behavior. For example, a driver must perceive the road ahead to anticipate available…
Dynamic Association of Semantics and Parameter Estimates by Filtering
Marcus Greiff, Ray Zhang, Thomas Lew +1
We propose a probabilistic semantic filtering framework in which parameters of a dynamical system are inferred and associated with a closed set of semantic classes in a map. We ext…
Semantic Property Maps for Driving Applications
Marcus Greiff, Ray Zhang, Takeru Shirasawa +1
We consider the problem of estimating the parameters of a vehicle dynamics model for predictive control in driving applications. Instead of solely using the instantaneous parameter…
Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size
Thomas Lew, Marcus Greiff, John Subosits +1
Proximal methods such as the Alternating Direction Method of Multipliers (ADMM) are effective at solving constrained quadratic programs (QPs). To tackle infeasible QPs, slack varia…
Differentiable Model Predictive Control on the GPU
Emre Adabag, Marcus Greiff, John Subosits +1
Differentiable model predictive control (MPC) offers a powerful framework for combining learning and control. However, its adoption has been limited by the inherently sequential na…
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
Alexander Davydov, Franck Djeumou, Marcus Greiff +4
Combining data-driven models that adapt online and model predictive control (MPC) has enabled effective control of nonlinear systems. However, when deployed on unstable systems, on…
Risk-Averse Model Predictive Control for Racing in Adverse Conditions
Thomas Lew, Marcus Greiff, Franck Djeumou +3
Model predictive control (MPC) algorithms can be sensitive to model mismatch when used in challenging nonlinear control tasks. In particular, the performance of MPC for vehicle con…
A Robust Observer with Gyroscopic Bias Correction for Rotational Dynamics
Erjen Lefeber, Marcus Greiff, Anders Robertsson
We propose an observer for rotational dynamics subject to directional and gyroscopic measurements, which simultaneously estimates the gyroscopic biases and attitude rates. We show…
Cooperative constrained motion coordination of networked heterogeneous vehicles
Zhiyong Sun, Marcus Greiff, Anders Robertsson +2
We consider the problem of cooperative motion coordination for multiple heterogeneous mobile vehicles subject to various constraints. These include nonholonomic motion constraints,…
Quadrotor Control on with SLAM Integration
Marcus Greiff, Patrik Persson, Zhiyong Sun +2
We present a trajectory tracking controller for a quadrotor unmanned aerial vehicle (UAV) configured on , and relate this result to a family of geometric tracking…
Exploiting Linear Substructure In LRKFs (Extended)
M. Greiff, K. Berntorp, A. Robertsson
We exploit knowledge of linear substructure in the linear-regression Kalman filters (LRKFs) to simplify the problem of moment matching. The theoretical results yield quantifiable a…
Temporal viability regulation for control affine systems with applications to mobile vehicle coordination under time-varying motion constraints
Marcus Greiff, Zhiyong Sun, Anders Robertsson +1
Controlled invariant set and viability regulation of dynamical control systems have played important roles in many control and coordination applications. In this paper we develop a…
Feasibility and coordination of multiple mobile vehicles with mixed equality and inequality constraints
Zhiyong Sun, Marcus Greiff, Anders Robertsson +1
We consider the problem of feasible coordination control for multiple homogeneous or heterogeneous mobile vehicles subject to various constraints (nonholonomic motion constraints,…