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Alexandru Condurache

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#artificial intelligence Preprint Sep 2026

DiffuSearch: How Hybrid Trajectory Planning Benefits from Aligned Objectives in Diffusion and Action Space

In trajectory planning for autonomous driving, hybrid planning architectures are often realized as a collection of disparate modules, each with its own objectives. This lack of a unifying principle can lead to inconsistencies between the initial and refined trajectory, resulting in suboptimal behavior. We address this...

Steffen Hagedorn, Aron Distelzweig, Alexandru Condurache · 1 citation
Preprint Aug 2026

GhostPoint: Self-Supervised Representation Learning by Hallucinating Occluded LiDAR Structure

GhostPoint is proposed, an SSL framework that hallucinates latent features in local neighborhoods around discovered instances, generated via a novel instance voxel dilation, and introduces a predictor-level supervision scheme on sampled voxels from generated neighborhoods.

Mohamed Abdelsamad, Bin Yang, Michael Ulrich et al. · 1 citation
#machine learning Preprint Aug 2026

Driving on Memory

This work removes a model's camera input and replaces it with memories from prior drives at the same location, suggesting that a high NAVSIM score does not require a planner to react to the current traffic scene and should be treated with caution.

Christian Löwens, Thorben Funke, Alexandru Condurache · 0 citations

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