Camera and radar-based threat monitoring for micromobility platforms

Abstract

Embodiments described herein provide systems and methods for threat detection for micromobility platforms based on image and range data. An example method generally includes capturing image data from a first sensor and corresponding ranging data from a second sensor communicatively coupled with a processing system, all mounted on a micromobility platform; identifying, based on an object detection machine learning model and the image data, one or more objects to monitor; predicting, based on processing the image data and the corresponding ranging data through a machine learning model, future motion of the identified one or more objects; determining that a threatening object from the identified one or more objects is a collision threat to the micromobility platform; and recording subsequent image data from the first sensor based on the determination until the machine learning model determines that the threatening object is no longer a collision threat has elapsed.