Tesla, Inc.

D2s, Inc.

Donald Benton MacMillen

Forrest Nelson Iandola

Anting Shen

Harsimran Singh Sidhu

Paras Jagdish Jain

Akira Fujimura

Kenji Yoshida

Takashi Mitsuhashi

Shohei Matsushita

Larry Lam Chau

Tam Dinh Thanh Nguyen

Daniel Paden Tomasello

Rohan Nandkumar Phadte

An autonomous control system generates synthetic data that reflect simulated environments. Specifically, the synthetic data is a representation of sensor data of the simulated environment from the perspective of one or more sensors. The system generates synthetic data by introducing one or more simulated modifications to sensor data captured by the sensors or by simulating the sensor data for a virtual environment. The autonomous control system uses the synthetic data to train computer models for various detection and control algorithms. In general, this allows autonomous control systems to augment training data to improve performance of computer models, simulate scenarios that are not included in existing training data, and/or train computer models that remove unwanted effects or occlusions from sensor data of the environment.

Data synthesis for autonomous control systems

An autonomous control system combines sensor data from multiple sensors to simulate sensor data from high-capacity sensors. The sensor data contains information related to physical environments surrounding vehicles for autonomous guidance. For example, the sensor data may be in the form of images that visually capture scenes of the surrounding environment, geo-location of the vehicles, and the like. The autonomous control system simulates high-capacity sensor data of the physical environment from replacement sensors that may each have lower capacity than high-capacity sensors. The high-capacity sensor data may be simulated via one or more neural network models. The autonomous control system performs various detection and control algorithms on the simulated sensor data to guide the vehicle autonomously.

Multi-channel sensor simulation for autonomous control systems

The present invention increases the number of characters available on a stencil for charged particle beam lithography. A stencil for charged particle beam lithography is disclosed, comprising two character projection (CP) characters, wherein the blanking areas for the two CP characters overlap. A stencil is also disclosed comprising two CP characters with one or more optional characters between the two characters, wherein the optional characters can form meaningful patterns on a surface only in combination with one of the two characters. A stencil is also disclosed wherein the blanking area of a CP character extends beyond the boundary of the stencil's available character area. Methods for design of the aforementioned stencils are also disclosed.

Cell projection charged particle beam lithography

Growing community of inventors

Hillsborough, CA, United States of America

Donald Benton MacMillen