"Sentry v1.0" - Autonomous Electric Car at 1/10 scale utilizing Intel RealSense
- 0 Collaborators
Sentry version 1.0 is a fully autonomous electric vehicle at 1/10 scale running the Jetson TX2 platform, on-board, with Intel RealSense and ZED cameras for perception. In addition, there is a Hokuyo 10-LX 2D Lidar pulling point cloud data with about 30m of accurate range. All the components are powered with custom cables and a 50k MAH power bank that has 12v and 20v outputs. Sentry utilizes a "Vedder" Electronic Speed Control Unit (VESC) which can be powered by any traditional RC battery. Given proper voltage and gearing the car can travel 50+ MPH. This vehicle is essentially an educational platform and always evolving. Applications include but are not limited to: - Deploying self-supervised deep reinforcement learning models for robot navigation. - Training deep learning models in a program like OpenVino for RT object detection/avoidance. - General hands-on experience with ROS, C++ or Python, CUDA, SLAM, and Gazebo simulations. - Develop your skills in coding complex algorithms for sensor fusion and navigation. The Akermann function and scan parsing can be utilized. ... there is really no limit here, and the possibilities are expanding every day. For more info, contact: robot@bazzi.ai ...learn more
Project status: Published/In Market
Robotics, RealSense™, Internet of Things, Artificial Intelligence
Intel Technologies
OpenVINO
Overview / Usage
Sentry can be used as a modular platform to develop an application which may suit your purposes or imagination.
Methodology / Approach
Information from Intel White Papers about Intel RealSense D series wrappers is very useful.
Work is mainly done in C++ with ROS to setup each sensor as a node.
There is really a lot to be said about this project.
Technologies Used
Too many too count:
- Intel RealSense D435 and D415
- Hokuyo Lidar
- Nvidia Jetson MCU
- Sparkfun 9 axis IMU
- ESC with high-torque brushless motor and servo steering control
... much more!
Repository
https://github.com/FarnamAdelkhani/SentryCar
