At Autolane, we’re on a mission to build the AI-driven orchestration layer for autonomous last‑mile delivery. Our R&D team blends state‑of‑the‑art computer vision (YOLOv8, Segment Anything, Detectron2) with geospatial mapping and reinforcement‑learning planners to:

Map & Understand real‑world environments: from extracting parking stalls and pickup zones in satellite or drone imagery to dynamically segmenting curbside lanes in live video feeds.

Identify & Authenticate vehicles on the move: developing open‑source ALPR pipelines that robustly read license plates under varied lighting and occlusion conditions.

Optimize & Dispatch with intelligence: experimenting with graph neural networks and multi‑agent RL for rapid route selection, load balancing across fleets, and on‑the‑fly re‑routing when conditions change.

Follow our profile to explore our latest CV models, scheduling agents, and research into federated learning across distributed vehicle fleets. Let’s reimagine logistics with AI, one delivery at a time.