Tesla, Inc. patent applications on November 14th, 2024
Patent Applications by Tesla, Inc. on November 14th, 2024
Tesla, Inc.: 2 patent applications
Tesla, Inc. has applied for patents in the areas of G06V20/56 (2), G06V20/58 (1), G06T7/20 (1), G06T7/13 (1), G06V20/70 (1) G06V20/58 (1), G06V20/588 (1)
With keywords such as: systems, inputs, vision, data, predicted, paths, travel, utilization, present, and combined in patent application abstracts.
Patent Applications by Tesla, Inc.
Inventor(s): Nanda Kishore Vasudevan of Austin TX (US) for tesla, inc., Dhiral Chheda of Austin TX (US) for tesla, inc.
IPC Code(s): G06V20/58, G06T7/20, G06V20/56
CPC Code(s): G06V20/58
Abstract: aspects of the present application correspond to utilization of a set of inputs from vision systems to generate simulations or predicted paths of travel for dynamic objects detected from the vision systems. illustratively, a service can process the set of inputs (e.g., the associated ground truth label data) collected from one or more vision systems (or additional services) to identify predicted paths of travel for any dynamic objects detected from the captured vision system information. typically, a plurality of predicted paths of travels can be generated such that more than one path of travel may be considered to meet or exceed a minimal threshold. the resulting predicted paths of travel can be further associated with confidence values that characterize the likelihood that any one predicted path of travel for a detected dynamic object will occur. the generated and processed paths can be provided or used as inputs for additional systems, such as navigation systems/services, semi-automated or automated driving systems/services and the like.
20240378899. VISION-BASED SYSTEM TRAINING WITH SIMULATED CONTENT_simplified_abstract_(tesla, inc.)
Inventor(s): David Abfall of Austin TX (US) for tesla, inc., Michael Hosticka of Austin TX (US) for tesla, inc.
IPC Code(s): G06V20/56, G06T7/13, G06V20/70
CPC Code(s): G06V20/588
Abstract: aspects of the present application correspond to utilization of a combined set of inputs from simulation systems to generate or train machine learned algorithms for utilization in vehicles with vision system-only based processing. aspects of the present application correspond to utilization of a set of inputs from sensors or sensing systems and simulation systems to create updated training sets for use in machine learning algorithms. the combined set of inputs includes a first set of data corresponding to vision system from a plurality of cameras configured in a vehicle. the combined set of inputs further includes a second set of data corresponding to simulated content systems that generate additional training set data including visual images and data labels to supplement the vision system data.
