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20212026
most citedVision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing

3 citations · 3 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

XU-RS: Explaining Credal Width in Random-Set Language Models

David Achara, Maryam Sultana, Alexander D. Rast +1

Uncertainty estimates tell us how unsure a model is, but not why. Without knowing which parts of an input influences a model's uncertainty, we cannot tell whether that uncertainty…

cs.RO2026

HuMemSLAM: Efficient Human-Inspired Semantic Place Recognition for Robust Visual SLAM

Mayowa Adebambo, Sebastian Donnelly, Armand Amaritei +2

Autonomous systems require reliable place recognition for efficient and effective simultaneous localisation and mapping (SLAM). Traditional geometric visual SLAM approaches rely on…

cs.RO2026

PathSpace: Rapid continuous map approximation for efficient SLAM using B-Splines in constrained environments

Aduen Benjumea, Andrew Bradley, Alexander Rast +1

Simultaneous Localization and Mapping (SLAM) plays a crucial role in enabling autonomous vehicles to navigate previously unknown environments. Semantic SLAM mostly extends visual S…

cs.RO2026

(hu)Man vs. Machine: In the Future of Motorsport, can Autonomous Vehicles Compete?

Armand Amaritei, Amber-Lily Blackadder, Sebastian Donnelly +5

Motorsport has historically driven technological innovation in the automotive industry. Autonomous racing provides a proving ground to push the limits of performance of autonomous…

cs.RO2026

SEG-JPEG: Simple Visual Semantic Communications for Remote Operation of Automated Vehicles over Unreliable Wireless Networks

Sebastian Donnelly, Ruth Anderson, George Economides +4

Remote Operation is touted as being key to the rapid deployment of automated vehicles. Streaming imagery to control connected vehicles remotely currently requires a reliable, high…