AI RESEARCH
ParkSense: Where Should a Delivery Driver Park? Leveraging Idle AV Compute and Vision-Language Models
arXiv CS.CV
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ArXi:2604.07912v1 Announce Type: new Finding parking consumes a disproportionate share of food delivery time, yet no system addresses precise parking-spot selection relative to ant entrances. We propose ParkSense, a framework that repurposes idle compute during low-risk AV states -- queuing at red lights, traffic congestion, parking-lot crawl -- to run a Vision-Language Model (VLM) on pre-cached satellite and street view imagery, identifying entrances and legal parking zones.