Nadya Abdel Madjid — accepted AI-conference papers

2024

PathFormer: A Transformer-Based Framework for Vision-Centric Autonomous Navigation in Off-Road Environments

Bilal Hassan, Nadya Abdel Madjid, Fatima Kashwani, Mohamad Alansari, Majid Khonji, Jorge Dias

IROS 2024poster

The efficient navigation of autonomous vehicles across rugged and unstructured terrains remains a significant challenge. Most existing research in this area emphasizes the need for complex mappings or intricate multi-step methodologies. However, these traditional approaches often struggle to adapt t…

Cited by 1 Source ↗Scholar ↗

2024

TerrainSense: Vision-Driven Mapless Navigation for Unstructured Off-Road Environments

Bilal Hassan, Arjun Sharma, Nadya Abdel Madjid, Majid Khonji, Jorge Dias

ICRA 2024poster

Navigating autonomous vehicles efficiently across unstructured and off-road terrains remains a formidable challenge, often requiring intricate mapping or multi-step pipelines. However, these conventional approaches struggle to adapt to dynamic environments. This paper presents TerrainSense, an end-t…

Cited by 3 Source ↗Scholar ↗