Projects

Datasets, tools, publications, and applied AI systems from my work on human-centred explainable AI for automated driving.

NARRATE

Dataset / ECCV 2026 DriveX Workshop

NARRATE

A multimodal real-world Australian driving dataset for human-centred explanations in automated driving: 2,050 annotated events from 35 drivers, cameras, LiDAR, GNSS/IMU, telemetry, and natural language explanations.

ECCV 2026DriveX2,050 eventsMultimodalBrisbane
Open project
X-Blocks

NLP / VLM generation framework

X-Blocks

A linguistic knowledge acquisition framework for scenario-aware explanations in automated vehicles, using dependency parsing, statistical log-odds, multi-LLM annotation, and VLM evaluation.

spaCyGPT-4oVLMsBLEU/ROUGEBERTScore
Open project
PsyLingXAV

XAI 2025

PsyLingXAV

A psycholinguistics design framework for explainable AI in automated vehicles, connecting explanation content, linguistic form, and human-centred interpretation.

XAIPsycholinguisticsHuman-Centred AI
Open project
Explainability in Automated Driving

AHFE IHIET 2026

Explainability in Automated Driving

Research on moving from spatial attention toward human-centred reasoning in automated driving explanations.

ExplainabilityAttentionReasoning
Open project
Eco and Safe Driving Control

IEEE T-ITS 2024

Eco and Safe Driving Control

Integrated intelligent control systems for eco and safe driving in autonomous vehicles.

IEEE T-ITSControl SystemsAutonomous Vehicles
Open project
Fuzzy Adaptive Cruise Control

EAAI 2024

Fuzzy Adaptive Cruise Control

Fuzzy adaptive cruise control with model predictive control for automated driving.

Fuzzy LogicMPCAutomated Driving
Open project
© 2026 Ashkan Y. Zadeh. All rights reserved.