Abstract: Exemplary embodiments include systems and methods to maintain tracking of an object that passes into an occluded area, including defining a map of a driving area; defining one or more occlusion areas within the map; detecting an object using sensor data from one or more sensors; creating an object track for the object detected using sensor data; determining that the object track entered one of the one or more occlusion areas; and maintaining the object track while the object track remains in the one or more occlusion areas.

Abstract: Exemplary embodiments include methods and systems to adjust a driving path in a planner-map, including: identifying a driving surface; determining a path on the driving surface; identifying one or more objects relative to the driving surface using one or more sensors; detecting one or more occlusion areas from sensor data from the one or more sensors; tracking one or more tracks of one or more objects within the one or more occlusion areas; adding uncertainty to the one or more tracks within the one or more occlusion areas; and adjusting the path on the driving surface based on the uncertainty of the one or more tracks within the one or more occlusion areas.

Abstract: Exemplary embodiments described herein include systems and method to remove tracks from a tracker when the tracks are within an occluded region, including defining a map of a driving area; defining an occlusion area within the map; detecting an object using sensor data from one or more sensors; determining that the object entered the occlusion area; creating an estimated object location for the object within the occlusion area; dropping the estimated object location for the object when the occlusion area is cleared.

Abstract: A decision platform can be a computer-implemented platform for predicting and increasing the likelihood that directed information is relevant to a user or device. The decision platform can have capabilities for predicting rates of interactivity with the directed information updating models, and reacting to directed information inventory changes in real-time without human intervention. The decision platform can use a three-dimensional logistic regression model to predict interactivity based in part on a user interactivity rate, a directed information interactivity rate, and a placement interactivity rate.

Abstract: A location-based product recommendation system uses consumer profile data, a network of beacons that emit unique identifiers, and a recommender to determine current product-correlated location information for a space in which a consumer's mobile device is physically present. The system may use the current product-correlated location information and the consumer's profile data to generate a recommendation for a candidate product for the consumer to consider. The system also may incorporate data from other interactions with products such as purchases, clicks on a website, etc. The system also may incorporate data generated on multiple channels (e.g., a product click on a personal computer at work, a mobile device location in a physical store, a product purchase on a personal computer in the home) into a single profile for the consumer.

Abstract: A system creates a content-based mapping of a physical space based on data received from beacons positioned at various locations in a physical space. Each beacon transmits a unique beacon identifier. When a mobile device detects a beacon identifier, the mobile device may also detect the signal strength of the transmitted identifier. If, with or shortly after detecting the beacon identifier, the mobile device is used to view content that is present in the physical space, the system may use the content information, the beacon identifier and the signal strength to build content-based floor map of the physical space.

Abstract: A system creates a content-based mapping of a physical space based on data received from beacons positioned at various locations in a physical space. Each beacon transmits a unique beacon identifier. When a mobile device detects a beacon identifier, the mobile device may also detect the signal strength of the transmitted identifier. If, with or shortly after detecting the beacon identifier, the mobile device is used to view content that is present in the physical space, the system may use the content information, the beacon identifier and the signal strength to build content-based floor map of the physical space.

Abstract: A system creates a content-based mapping of a physical space based on data received from beacons positioned at various locations in a physical space. Each beacon transmits a unique beacon identifier. When a mobile device detects a beacon identifier, the mobile device may also detect the signal strength of the transmitted identifier. If, with or shortly after detecting the beacon identifier, the mobile device is used to view content that is present in the physical space, the system may use the content information, the beacon identifier and the signal strength to build content-based floor map of the physical space.

Abstract: A location-based product recommendation system uses consumer profile data, a network of beacons that emit unique identifiers, and a recommender to determine current product-correlated location information for a space in which a consumer's mobile device is physically present. The system may use the current product-correlated location information and the consumer's profile data to generate a recommendation for a candidate product for the consumer to consider. The system also may incorporate data from other interactions with products such as purchases, clicks on a website, etc. The system also may incorporate data generated on multiple channels (e.g., a product click on a personal computer at work, a mobile device location in a physical store, a product purchase on a personal computer in the home) into a single profile for the consumer.

Abstract: A system creates a content-based mapping of a physical space based on data received from beacons positioned at various locations in a physical space. Each beacon transmits a unique beacon identifier. When a mobile device detects a beacon identifier, the mobile device may also detect the signal strength of the transmitted identifier. If, with or shortly after detecting the beacon identifier, the mobile device is used to view content that is present in the physical space, the system may use the content information, the beacon identifier and the signal strength to build content-based floor map of the physical space.