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20182026
most citedCNN based Road User Detection using the 3D Radar Cube

154 citations · 243 across the 27 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.RO2025

Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead

Shireen Kudukkil Manchingal, Armand Amaritei, Mihir Gohad +4

Autonomous Vehicle (AV) perception systems have advanced rapidly in recent years, providing vehicles with the ability to accurately interpret their environment. Perception systems…

cs.CV2025

The Overlooked Value of Test-time Reference Sets in Visual Place Recognition

Mubariz Zaffar, Liangliang Nan, Sebastian Scherer +1

Given a query image, Visual Place Recognition (VPR) is the task of retrieving an image of the same place from a reference database with robustness to viewpoint and appearance chang…

cs.AI2025★ 1 cited

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know'

Shireen Kudukkil Manchingal, Andrew Bradley, Julian F. P. Kooij +3

Despite AI's impressive achievements, including recent advances in generative and large language models, there remains a significant gap in the ability of AI systems to handle unce…

cs.CV2025

NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits

Nail Ibrahimli, Julian F. P. Kooij, Liangliang Nan

Implicit surface representations are valued for their compactness and continuity, but they pose significant challenges for editing. Despite recent advancements, existing methods of…

cs.RO2025

A Vehicle System for Navigating Among Vulnerable Road Users Including Remote Operation

Oscar de Groot, Alberto Bertipaglia, Hidde Boekema +21

We present a vehicle system capable of navigating safely and efficiently around Vulnerable Road Users (VRUs), such as pedestrians and cyclists. The system comprises key modules for…

cs.CV2025

VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow

Yancong Lin, Shiming Wang, Liangliang Nan +2

Scene flow estimation aims to recover per-point motion from two adjacent LiDAR scans. However, in real-world applications such as autonomous driving, points rarely move independent…