Patents by Inventor Sivasubramanian Sundaram

Sivasubramanian Sundaram has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Identification of audio signals in surrounding sounds and guidance of an autonomous vehicle in response to the same
    Patent number: 10747231
    Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to identify and respond to an audio signal, e.g., an emergency alarm signal. In embodiments, the CA/AD driving system may include a plurality of microphones disposed to capture the audio signal included in surrounding sounds to a semi-autonomous or autonomous (SA/AD) vehicle. In embodiments, an audio analysis unit may receive the audio signal to extract audio features from the audio signal. In embodiments, a neural network such as a Deep Neural Network (DNN) may receive the extracted audio features from the audio analysis unit and to generate a probability score to allow identification of the audio signal. In embodiments, the CA/AD driving system may control driving elements of the SA/AD vehicle to autonomously or semi-autonomously drive the SA/AD vehicle in response to the identification. Other embodiments may also be described and claimed.
    Type: Grant
    Filed: November 17, 2017
    Date of Patent: August 18, 2020
    Assignee: Intel Corporation
    Inventors: Sarang Akotkar, Mithil Ramteke, Tobias Bocklet, Sivasubramanian Sundaram
  • IDENTIFICATION OF AUDIO SIGNALS IN SURROUNDING SOUNDS AND GUIDANCE OF AN AUTONOMOUS VEHICLE IN RESPONSE TO THE SAME
    Publication number: 20190049989
    Abstract: Embodiments include apparatuses, systems, and methods for a computer-aided or autonomous driving (CA/AD) system to identify and respond to an audio signal, e.g., an emergency alarm signal. In embodiments, the CA/AD driving system may include a plurality of microphones disposed to capture the audio signal included in surrounding sounds to a semi-autonomous or autonomous (SA/AD) vehicle. In embodiments, an audio analysis unit may receive the audio signal to extract audio features from the audio signal. In embodiments, a neural network such as a Deep Neural Network (DNN) may receive the extracted audio features from the audio analysis unit and to generate a probability score to allow identification of the audio signal. In embodiments, the CA/AD driving system may control driving elements of the SA/AD vehicle to autonomously or semi-autonomously drive the SA/AD vehicle in response to the identification. Other embodiments may also be described and claimed.
    Type: Application
    Filed: November 17, 2017
    Publication date: February 14, 2019
    Inventors: Sarang Akotkar, Mithil Ramteke, Tobias Bocklet, Sivasubramanian Sundaram