Systems and methods for 3D image distification
摘要
說明書
In some embodiments, multiple points may be analyzed together by a prediction model to determine driver behavior. For example, the forehead (654) facing in the direction of the mobile phone (662), where the mobile phone (662) is located in close proximity to the driver's hand (660) could signal the identification of the behavior of use of a mobile phone, as described above.
In various embodiments, a prediction model could return as output an indication or classification of one or more driver behaviors that can include, for example, “calling,” (using the right hand or the left hand), “texting” (using the right hand or left hand), “eating,” “drinking,” “adjusting the radio,” or “reaching for the backseat.” A driver behavior of “normal” or “safe” may also be identified, for example, if the driver has both hands on the steering wheel, one hand on the steering wheel and another on a stick-shift, etc. It is noted that, other driver behaviors, actions or features are contemplated by the present disclosure and are not limited to the above examples.
In some embodiments, the prediction models, such as a prediction model used to classify driver behaviors associated with image 650, can be generated and trained using machine learning techniques. In other embodiments, the prediction models may be generated from regression analysis used to create single or multivariate prediction models.
