Self-Driving-Car | self driving car project developed as a part
kandi X-RAY | Self-Driving-Car Summary
kandi X-RAY | Self-Driving-Car Summary
This repository is for self driving car project developed by undergraduate Computer Science and Engineering students at NIIT University.
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Top functions reviewed by kandi - BETA
- Create the data for a GCP geometry
- Send json to GCP
- Creates the location in JSON
- Send the image to GCP
- Initializes the Activity
- Checks if the permission is granted
- Gets an instance of the camera
- Called when a location is changed
- Set the current location
- Set the elevation of the elevation
- Initializes the map when it is ready to be used
- Build the Google API client
- Get the Url Url
- This method parses a JSON object and returns a list of points
- Decode polyline points
- Resume the orientation sensor
- Close the drawer button
- Override this to handle the action bar selection
- Called when a navigation item is clicked
- Called when a surface is created
- Called when the application is connected
- Set the degree of the sensor
- Called when preview is changed
- Generates the catch heading information
- Download json data from url
- Release the camera
Self-Driving-Car Key Features
Self-Driving-Car Examples and Code Snippets
Community Discussions
Trending Discussions on Self-Driving-Car
QUESTION
I run drive.py program from Code Project | A Complete guide to self driving car
but when i start program i have error:
Not creating XLA devices, tf_xla_enable_xla_devices not set
Does anyone know how I can fix this problem? What should I download or reinstall?
I use:
Python 3.8.7
CUDA 11.0
tensorflow 2.4.1 On http://0.0.0.0:4567/ of course I see nothing
...ANSWER
Answered 2021-Jan-27 at 08:34Usually this message should not interfere.
Please try
QUESTION
This is my code:
...ANSWER
Answered 2018-Feb-07 at 06:06Lets break it down a bit. (A.array() == A.array())
represents the (2D) array with a boolean showing element-wise equality. If you were to write
QUESTION
How to prevent a lazy Convolutional Neural Network? I end with a ‘lazy CNN’ after training it with KERAS. Whatever the input is, the output is constant. What do you think the problem is?
I try to repeat an experiment of NVIDIA’s End to End Learning for Self-Driving Cars the paper. Absolutely, I do not have a real car but a Udacity’s simulator . The simulator generates figures about the foreground of a car.
A CNN receives the figure, and it gives the steering angle to keep the car in the track. The rule of the game is to keep the simulated car runs in the track safely. It is not very difficult.
The strange thing is sometimes I end with a lazy CNN after training it with KERAS, which gives constant steering angles. The simulated car will go off the trick, but the output of the CNN has no change. Especially the layer gets deeper, e.g. the CNN in the paper.
If I use a CNN like this, I can get a useful model after training.
...ANSWER
Answered 2017-Dec-22 at 15:12I can't run your model, because neither the question not the GitHub repo contains the data. That's why I am 90% sure of my answer.
But I think the main problem of your network is the sigmoid
activation function after dense layers. I assume, it will train well when there's just two of them, but four is too much.
Unfortunately, NVidia's End to End Learning for Self-Driving Cars paper doesn't specify it explicitly, but these days the default activation is no longer sigmoid
(as it once was), but relu
. See this discussion if you're interested why that is so. So the solution I'm proposing is try this model:
QUESTION
in udacity self driving https://github.com/udacity/self-driving-car/tree/master/vehicle-detection/u-net the method get_mask_seg(img, bb_boxes_f) gives slice indices must be integers or none or have an index method
...ANSWER
Answered 2017-Nov-26 at 04:17This code is breaking due to a relatively recent change in NumPy. To fix it, you'll need to ensure that the index array bb_box_i
is an integer array. The easiest way to do that is probably to add a line of code that does bb_box_i = bb_box_i.astype('int')
before indexing into the img_mask
array.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Self-Driving-Car
You can use Self-Driving-Car like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Self-Driving-Car component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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