Abstract: This document describes techniques and systems for vehicle localization based on radar detections in garages and other GNSS denial environments. In some examples, a system includes a processor and computer-readable storage media comprising instructions that, when executed, cause the system to obtain structure data regarding a GNSS denial environment and generate, from the structure data, radar localization landmarks. The radar localization landmarks include edges or corners of the GNSS denial environment. The instructions also cause the processor to generate polylines along or between the radar localization landmarks to generate a radar occupancy grid. The instructions further cause the processor to receive radar detections from one or more radar sensors and obtain a vehicle pose within the radar occupancy grid to localize the vehicle within the GNSS denial environment. In this way, the system can provide highly accurate vehicle localization in GNSS denial environments in a cost-effective manner.

Abstract: This document describes techniques and systems for vehicle localization based on radar detections in garages and other GNSS denial environments. In some examples, a system includes a processor and computer-readable storage media comprising instructions that, when executed, cause the system to obtain structure data regarding a GNSS denial environment and generate, from the structure data, radar localization landmarks. The radar localization landmarks include edges or corners of the GNSS denial environment. The instructions also cause the processor to generate polylines along or between the radar localization landmarks to generate a radar occupancy grid. The instructions further cause the processor to receive radar detections from one or more radar sensors and obtain a vehicle pose within the radar occupancy grid to localize the vehicle within the GNSS denial environment. In this way, the system can provide highly accurate vehicle localization in GNSS denial environments in a cost-effective manner.

Abstract: Methods and systems are described that enable radar reference map generation. A high-definition (HD) map is received and one or more HD map objects within the HD map are determined. Attributes of the respective HD map objects are determined, and, for each HD map object, one or more occupancy cells of a radar occupancy grid are indicated as occupied space based on the attributes of the respective HD map object. By doing so, a radar reference map may be generated without a vehicle traversing through an area corresponding to the radar reference map.

Abstract: Methods and systems are described that enable vehicle routing based on availability of radar-localization objects. A request to navigate to a destination is received, and at least two possible routes to the destination are determined. Availabilities of radar-localization objects for the possible routes are determined, and a route is selected based on the availabilities of the radar-localization objects. Furthermore, while traveling along a route, the vehicle is localized based on radar detections of radar-localization objects. A radar-localization quality of the localizing is monitored, and a determination is made that the radar-localization quality has dropped or will drop. Based on the radar-localization quality dropping, the route is modified and/or an operation of a radar module is adjusted. In this way, availabilities of radar-localization objects may be used to select an optimal route and to adjust a current navigation along a route to minimize driver takeover.

Abstract: Methods and systems are described that enable radar reference map generation. A radar occupancy grid is received, and radar attributes are determined from occupancy probabilities within the radar occupancy grid. Radar reference map cells are formed, and the radar attributes are used to determine Gaussians for the radar reference map cells that contain a plurality of the radar attributes. A radar reference map is then generated that includes the Gaussians determined for the radar referenced map cells that contain the plurality of radar attributes. By doing so, the generated radar reference map is accurate while being spatially efficient.

Abstract: This document describes methods and systems for vehicle localization based on radar detections. Radar localization starts with building a radar reference map. The radar reference map may be generated and updated using different techniques as described herein. Once a radar reference map is available, real-time localization may be achieved with inexpensive radar sensors and navigation systems. Using the techniques described in this document, the data from the radar sensors and the navigation systems may be processed to identify stationary localization objects, or landmarks, in the vicinity of the vehicle. Comparing the landmark data originating from the onboard sensors and systems of the vehicle with landmark data detailed in the radar reference map may generate an accurate pose of the vehicle in its environment. By using inexpensive radar systems and lower quality navigation systems, a highly accurate vehicle pose may be obtained in a cost-effective manner.

Abstract: A method for forming a glass sheet includes forming a glass ribbon. A robot arm is operated to move an end effector through a preprogrammed cycle. The cycle includes engaging a segment of the glass ribbon with the end effector, separating the engaged segment from the glass ribbon to generate a glass sheet, and moving the glass sheet away from the glass ribbon. The preprogrammed cycle designates predetermined positions of the end effector at predetermined points in time. While the robot arm is operating through the preprogrammed cycle, a parameter indicative of a force being exerted on the glass ribbon by the end effector is sensed. A position of the end effector is altered to differ from the predetermined position at the corresponding point in time when the sensed parameter deviates from a target value. An excessive force applied to the glass ribbon can be reduced in real-time.

Abstract: A glass manufacturing apparatus includes a glass former to form a glass ribbon from a quantity of molten material, a thermal sensor oriented to sense a temperature of the glass ribbon, and a processor programmed to estimate a thickness of the glass ribbon based on the sensed temperature from the thermal sensor. A method of manufacturing glass includes forming a glass ribbon from a quantity of molten material, sensing a temperature of the glass ribbon, and estimating a thickness of the glass ribbon based on the sensed temperature.