What A Self Driving Car Sees – Rodeo Drive – Beverly Hills California USA

What A Self Driving Car SeesRodeo DriveBeverly Hills California USA

Product: Google’s Tensorflow Implementation of Faster RCNN. Modified from: https://github.com/CharlesShang/TFFRCNN
“Additional Info: Googles TensorFlow Object Detection API https://research.googleblog.com/2017/06/supercharge-your-computer-vision-models.html

Software Engineer: https://www.linkedin.com/in/kuo77122/ Thanks to Che-Nan!

Autonomous Cars
An autonomous Car (also known as a Driverless Car, auto,SelfDriving Car,robotic Car) is a vehicle that is capable of sensing its environment and navigating without human input. Many such vehicles are being developed, but as of May 2017 automated Cars permitted on public roads are not yet fully autonomous. They all require a human Driver at the wheel who is ready at a moment’s notice to take control of the vehicle.

Autonomous Cars use a variety of techniques to detect their surroundings, such as radar, laser light, GPS, odometry, and computer vision. Advanced control systems interpret sensory information to identify appropriate navigation paths, as well as obstacles and relevant signage. Autonomous Cars have control systems that are capable of analyzing sensory data to distinguish between different Cars on the road, which is very useful in planning a path to the desired destination.


Convolutional Neural Network (CNN)
In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network that have proven value in analyzing visual imagery.

CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing. It is also known as shift invariant or space invariant artificial neural network (SIANN), based on its shared-weights architecture and translation invariance characteristics.

Convolutional networks were inspired by biological processes in which the connectivity pattern between neurons is inspired by the organization of the animal visual cortex. Individual cortical neurons respond to stimuli in a restricted region of space known as the receptive field. The receptive fields of different neurons partially overlap such that they cover the entire visual field. The response of an individual neuron to stimuli within its receptive field can be approximated mathematically by a convolution operation.

They have applications in image and video recognition, recommender systems and natural language processing.


Rodeo Drive
Rodeo Drive is a two-mile-long street, in Beverly Hills, California, with its southern segment in the City of Los Angeles. The name is most commonly used metonymically to refer to the three-block stretch of the street north of Wilshire Boulevard and south of Little Santa Monica Boulevard, which is known for its luxury goods stores. The larger business district surrounding Rodeo, known as the “Golden Triangle,” which extends from Wilshire Boulevard to Santa Monica Boulevard, is both a shopping district and a tourist attraction.

Beverly_Hills,_California” rel=”nofollow”>https://en.wikipedia.org/wiki/Beverly_Hills,_California


What A Self Driving Car SeesRodeo DriveBeverly Hills California USA

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