1 citations · 1 across the 7 of their papers we have counts for
10 papers
Data Augmentation Strategies for Robust Lane Marking Detection
Flora Lian, Dinh Quang Huynh, Hector Penades +3
Robust lane detection is essential for advanced driver assistance and autonomous driving, yet models trained on public datasets such as CULane often fail to generalise across diffe…
InterKey: Cross-modal Intersection Keypoints for Global Localization on OpenStreetMap
Nguyen Hoang Khoi Tran, Julie Stephany Berrio, Mao Shan +1
Reliable global localization is critical for autonomous vehicles, especially in environments where GNSS is degraded or unavailable, such as urban canyons and tunnels. Although high…
Multi-Modal Camera-Based Detection of Vulnerable Road Users
Penelope Brown, Julie Stephany Berrio Perez, Mao Shan +1
Vulnerable road users (VRUs) such as pedestrians, cyclists, and motorcyclists represent more than half of global traffic deaths, yet their detection remains challenging in poor lig…
Towards Adaptive External Communication in Autonomous Vehicles: A Conceptual Design Framework
Tram Thi Minh Tran, Judy Kay, Stewart Worrall +6
External Human-Machine Interfaces (eHMIs) are key to facilitating interaction between autonomous vehicles and external road actors, yet most remain reactive and do not account for…
OccCylindrical: Multi-Modal Fusion with Cylindrical Representation for 3D Semantic Occupancy Prediction
Zhenxing Ming, Julie Stephany Berrio, Mao Shan +5
The safe operation of autonomous vehicles (AVs) is highly dependent on their understanding of the surroundings. For this, the task of 3D semantic occupancy prediction divides the s…
InterLoc: LiDAR-based Intersection Localization using Road Segmentation with Automated Evaluation Method
Nguyen Hoang Khoi Tran, Julie Stephany Berrio, Mao Shan +2
Online localization of road intersections is beneficial for autonomous vehicle localization, mapping and motion planning. Intersections offer strong landmarks for correcting vehicl…