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Nicholas A Rhinehart

from Pittsburgh, PA
Age ~34
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Related to:
Wendy A Angel, 70Sonja L Witchey, 47Patricia L WaltonTessa A Rhinehart, 29Walter L Rhinehart, 70Lyn C Horning, 69Zachary J Rhinehart, 37Edward L Horning, 73Leslie L Rhinehart, 70Erin L Rhinehart, 37Lauren E Horning, 32Zachary Rhinehart, 70
Connected to:
Balinda J Rhinehart, 71Bonita J Rhinehart, 83Caitlin E Rhinehart, 35Caroline E Rhinehart, 43Cassie L Rhinehart, 35Catherine Rhinehart, 42Dave Rhinehart, 111Debi L Rhinehart, 54Diana L Rhinehart, 61Douglas E Rhinehart, 84

Nicholas Rhinehart Phones & Addresses

  • Pittsburgh, PA
  • Swarthmore, PA
  • Bradford, PA

Professional Records

License Records

Nicholas L Rhinehart

License #:
E054210 - Expired
Category:
Emergency medical services
Issued Date:
May 3, 2010
Expiration Date:
Mar 31, 2013
Type:
Sierra-Sacramento Valley EMS Agency

Nicholas L Rhinehart

License #:
P31408 - Active
Category:
Emergency medical services
Issued Date:
Sep 20, 2012
Expiration Date:
Sep 30, 2018

Publications

Us Patents

Traffic Prediction With Reparameterized Pushforward Policy For Autonomous Vehicles

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US Patent:
20190287404, Sep 19, 2019
Filed:
Feb 4, 2019
Appl. No.:
16/266713
Inventors:
- Princeton NJ, US
Nicholas Rhinehart - Pittsburgh PA, US
International Classification:
G08G 1/16
G08G 1/01
G06N 5/04
G06N 3/08
G06N 20/00
G06N 7/00
Abstract:
Systems and methods for vehicle behavior prediction include an imaging device that captures images of a vehicle in traffic. A processing device including policy stored in a memory of the processing device in communication with the imaging device stochastically models future behavior of the vehicle based on the captured images. A policy simulator in communication with the processing device simulates the policy as a reparameterized pushforward policy of a base distribution. An evaluator receives the simulated policy from the policy simulator and performs cross-entropy optimization on the future behavior of the vehicle by analyzing the simulated policy and updating the policy according to cross-entropy error. An alert system retrieves the future behavior of the vehicle and recognizes hazardous trajectories of the future trajectories and generates an audible alert using a speaker.

Generative Adversarial Inverse Trajectory Optimization For Probabilistic Vehicle Forecasting

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US Patent:
20190094867, Mar 28, 2019
Filed:
Sep 28, 2018
Appl. No.:
16/145649
Inventors:
- Princeton NJ, US
Wongun Choi - Lexington MA, US
Nicholas Rhinehart - Pittsburgh PA, US
International Classification:
G05D 1/02
H04N 7/18
G06K 9/00
G05D 1/00
Abstract:
Systems and methods for predicting vehicle behavior includes capturing images of a vehicle in traffic using an imaging device. Future behavior of the vehicle is stochastically modeled using a processing device including an energy-based model stored in a memory of the processing device. The energy-based model includes generating a distribution of possible future trajectories of the vehicle using a generator, sampling the distribution of possible future trajectories according to an energy value of each trajectory in the distribution of possible future trajectories an energy model to determine probable future trajectories, and optimizing parameters of each of the generator and the energy model using an optimizer. A user is audibly alerted with a speaker upon an alert system recognizing hazardous trajectories of the probable future trajectories.

Generative Adversarial Inverse Trajectory Optimization For Probabilistic Vehicle Forecasting

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US Patent:
20190095731, Mar 28, 2019
Filed:
Sep 28, 2018
Appl. No.:
16/145555
Inventors:
- Princeton NJ, US
Wongun Choi - Lexington MA, US
Nicholas Rhinehart - Pittsburgh PA, US
International Classification:
G06K 9/00
G06N 3/08
G06N 3/04
G06K 9/62
G06K 9/72
B60Q 9/00
Abstract:
Systems and methods for predicting vehicle behavior includes capturing images of a vehicle in traffic using an imaging device. Future behavior of the vehicle is stochastically modeled using a processing device including an energy-based model stored in a memory of the processing device. The energy-based model includes generating a distribution of possible future trajectories of the vehicle using a generator, sampling the distribution of possible future trajectories according to an energy value of each trajectory in the distribution of possible future trajectories an energy model to determine probable future trajectories, and optimizing parameters of each of the generator and the energy model using an optimizer. A user is audibly alerted with a speaker upon an alert system recognizing hazardous trajectories of the probable future trajectories.
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Nicholas A Rhinehart from Pittsburgh, PA, age ~34 Get Report