Samuel J Abrahams

20200172098, Jun 4, 2020

Dec 4, 2018

16/209935

- Detroit MI, US
Samuel Abrahams - San Francisco CA, US

B60W 30/095
B60W 30/09
G05D 1/00
G05D 1/02
G06N 3/04
G06N 3/08
G06N 20/20

Described herein are various technologies that pertain to controlling an AV based upon a neural-network-generated prediction of a trajectory (e.g., one or more future positions) of an object in the driving environment of the AV. With more specificity, described herein are various technologies pertaining to generating predictions of a trajectory of an object by way of a multi-headed recurrent neural network (RNN). The multi-headed RNN is configured to output probability data that indicates a probability of an object moving to a position at a future point in time when the object has each of a plurality of different object characteristics. The multi-headed RNN is further configured to use state information of the multi-headed RNN from prior predictions of a trajectory of an object in connection with generating a future prediction of a trajectory of the object.

20190061771, Feb 28, 2019

Oct 29, 2018

16/173112

- Detroit MI, US
Elliot Branson - San Francisco CA, US
Cody Neil - San Francisco CA, US
Samuel Abrahams - San Francisco CA, US
Nathan Mandi - San Francisco CA, US
Daniel Johnson - San Francisco CA, US
Haggai Nuchi - San Francisco CA, US

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

B60W 50/00
G05D 1/00
G05D 1/02
G06N 3/08
G06N 5/04
G06N 3/04

Systems and method are provided for controlling a vehicle. In one embodiment, a method of predicting sensor information of an autonomous vehicle includes: receiving point cloud data sensed from an environment associated with the vehicle; processing, by a processor, point cloud data with a convolutional neural network (CNN) to produce a set of segmentations stored in a set of memory cells; processing, by the processor, the set of segmentations of the CNN with a recurrent neural network (RNN) to predict future point cloud data; processing, by the processor, the future point cloud data to determine an action; and controlling the vehicle based on the action.