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20212026
most citedSimulating Malicious Attacks on VANETs for Connected and Autonomous Vehicle Cybersecurity: A Machine Learning Dataset

1 citations · 1 across the 3 of their papers we have counts for

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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…

cs.RO2021

Worsening Perception: Real-time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions

Ivan Fursa, Elias Fandi, Valentina Musat +7

Autonomous vehicles rely heavily upon their perception subsystems to see the environment in which they operate. Unfortunately, the effect of variable weather conditions presents a…

cs.RO2021

Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning

Sam Garlick, Andrew Bradley

Widespread development of driverless vehicles has led to the formation of autonomous racing, where technological development is accelerated by the high speeds and competitive envir…