Abstract: A method is provided for determining a location to place a mass on a wheel assembly. A first set of acceleration data is collected from a plurality of inertial measurement units (IMU's) that are mounted to a removably attachable object that is attached to a wheel of the vehicle in a manner that inhibits the object from coming off of the vehicle when the vehicle is in motion. The first set of acceleration data is collected while operating the vehicle at a first speed. The first set of acceleration data is used to determine an offset between a center of the object and a bearing center of the wheel assembly. A second set of acceleration data is collected from the plurality of inertial measurement units (IMU's). The second set of acceleration data is collected while operating the vehicle at second speed that is greater than the first speed.

Abstract: There is provided a mmWave RTLS (Real-Time Location Sensing) system for detecting the presence of one or more objects. The system includes multiple anchors. Each anchor includes a mmWave radar subsystem that uses radar algorithms to detect one or more objects and determine the one or more location-based objects characteristics. The location-based object characteristics include one or more of the following: range, direction-of-arrival, velocity, absolute position, or logical position, each determined relative to one or more anchors.

Abstract: There is provided a mm-wave radar system for detecting an activity record from multiple targets. At least one sensor is configured to transmit a mm-wave signal waveform and to receive backscattered signals from multiple targets. One or more processors configured to process the received backscattered signals, determine radar data related to each target, and process the radar data of each target using a machine learning (ML) engine that outputs an activity record related to each target. Each activity record is linked to a specific timestamp.

Abstract: There is provided a mmWave RTLS (Real-Time Location Sensing) system for detecting the presence of one or more objects. The system includes multiple anchors. Each anchor includes a mmWave radar subsystem that uses radar algorithms to detect one or more objects and determine the one or more location-based objects characteristics. The location-based object characteristics include one or more of the following: range, direction-of-arrival, velocity, absolute position, or logical position, each determined relative to one or more anchors.

Abstract: The present disclosure is directed to apparatuses, systems, and methods for automatically managing cost of sale (COS) bidding for merchants (alternatively referred to herein as “vendors”). Described herein are automated COS bidding processes (or automated COS bidding logic, modules, or engines) utilized such that merchants need not actively manage their bids (i.e., fees associated with displaying item listings). As described herein, embodiments automate merchant bids using a formula based, at least in part, on the price of the item, the cost of selling from the advertiser, and historical performance data.