ParkSense proposes using idle AV compute and VLMs on pre-cached imagery to solve the Delivery-Aware Precision Parking problem, with estimated annual income gains of $3,000-8,000 per U.S. driver.
Predicting spatiotemporal legality of on-street parking
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ParkSense: Where Should a Delivery Driver Park? Leveraging Idle AV Compute and Vision-Language Models
ParkSense proposes using idle AV compute and VLMs on pre-cached imagery to solve the Delivery-Aware Precision Parking problem, with estimated annual income gains of $3,000-8,000 per U.S. driver.