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20202026
most citedSafety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways

7 citations · 17 across the 16 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023

SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles

Linh Trinh, Ali Anwar, Siegfried Mercelis

Recently, there has been an upsurge in the research on maritime vision, where a lot of works are influenced by the application of computer vision for Unmanned Surface Vehicles (USV…

cs.RO2023★ 1 cited

Autonomous Port Navigation With Ranging Sensors Using Model-Based Reinforcement Learning

Siemen Herremans, Ali Anwar, Arne Troch +4

Autonomous shipping has recently gained much interest in the research community. However, little research focuses on inland - and port navigation, even though this is identified by…

cs.LG2023★ 7 cited

Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways

Astrid Vanneste, Simon Vanneste, Olivier Vasseur +7

In recent years, interest in autonomous shipping in urban waterways has increased significantly due to the trend of keeping cars and trucks out of city centers. Classical approache…

cs.MA2023★ 1 cited

Attention Based Feature Fusion For Multi-Agent Collaborative Perception

Ahmed N. Ahmed, Siegfried Mercelis, Ali Anwar

In the domain of intelligent transportation systems (ITS), collaborative perception has emerged as a promising approach to overcome the limitations of individual perception by enab…

cs.CV2023

The Second Monocular Depth Estimation Challenge

Jaime Spencer, C. Stella Qian, Michaela Trescakova +40

This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…