works on

From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CV2026

3D Lane Detection with Odometry for High-Speed Vehicle Racing

Omoruyi Atekha, John Subosits, Marcus Greiff

The paper presents a new 3D lane detection dataset collected from high‑speed vehicle racing and proposes a fast, odometry‑enhanced multi‑camera ensemble method that runs near 300 H…

cs.CV2026

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…

math.OC2026

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…

cs.RO2026

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…

eess.SY2026

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…

eess.SY2025

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…