ADAS

Car Detection Using Single Shot MultiBox Detector (SSD Convolutional Neural Network) in ROS Using Caffe

This work is similar to the previous work here, but this time I used Single Shot MultiBox Detector (SSD) for car detection. Installation is similar, clone the  SSD Caffe:

add the following lines to your Makefile.config

and build it:

used video_stream_opencv to stream your video:

download the trained model from here and put them in the model …

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Car Detection Using Fast Region-based Convolutional Networks (R-CNN) in ROS with Caffe

To run this, you need to install Fast-RCNN and Autoware. Just in case you got error regarding hd5f when making Fast-RCNN, add the following lines to your Makefile.config

Now run the following command to start:

if you got an error like :

That means your graphics card is not ready or accessible, in my everytime I suspend my notebook I get that …

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Ackermann steering car robot model with simulation in Gazebo

Most of the wheeled robots in ROS use move_base to move the robot. move_base geometry model is based on differential drive which basically transforms a velocity command (twist message) into a command for rotating the left and the right wheels at a different speed which enable the car to turn into the right or left or goes straight. But cars …

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Autonomous navigation of two wheels differential drive robot in Gazebo

Two wheels differential drive robot (with two caster wheels). List of installed sensors: • Velodyne VLP-16. • Velodyne HDL-32E. • Hokuyo Laser scanner. • IMU. • Microsoft Kinect/Asus Xtion Pro. • RGB Camera. You can manually control the robot with Joystick controller for mapping robot environment. Autonomous navigation is possible by setting goal pose.