Alpha Neuron

Alpha Neuron

Alpha Neuron offers a complete autonomous driving environment.

Artificial Intelligence, Robotics

  • 0 Collaborators

  • 0 Followers

    Follow

Description

Autonomous Driving is one of the most interesting AI problems, and Alpha Neuron aims to accelerate the world’s transition to driverless cars as the message of today’s car manufacturers is clear now; The cars of the future will be born fully autonomous. Alpha Neuron consist of two parts the Autonomous Agent on top of a model car and Alpha Neuron interconnection protocol. The model car is comprised of two sides hardware and software sides, since we are concerned with autonomy our main focus will be the software side of the project. Thus, for the hardware parts we will use prebuilt modules, The core modules for the project are: Deep learning modules which are responsible with the use of convolutional neural networks to detect lane lines, obstacles, street signs, traffic lights and to track other vehicles in the street, the second module is sensor fusion which make use of embedded sensors to get measurements and track pedestrians, the third module is the localization module which is responsible for locating the vehicle and planning a path in order to make the car navigate in the streets safely .

The interconnection protocol is a generic protocol for agents to communicate, the protocol will allow agents to organize traffic and increase safety further.

Hardware setup: 1/10 RC chassis
Raspberry PI 3 Rasspberry PiCam Ultrasonic sensors Movidius Neural Compute Stick
Potential Upgrades: 360-degree rplidar Faster Replacement for Raspberry PI More movidius NCS. Intel Realsense cam. 2x current configuration for intercommunication protocol testing.

Gallery

11222177 10206744713275811 8568950266918335253 n

Mohamed A. added photos to project Alpha Neuron

Medium 3efb6704 59ca 45a1 ab4e cf8bb4b711c2

Alpha Neuron

Autonomous Driving is one of the most interesting AI problems, and Alpha Neuron aims to accelerate the world’s transition to driverless cars as the message of today’s car manufacturers is clear now; The cars of the future will be born fully autonomous.
Alpha Neuron consist of two parts the Autonomous Agent on top of a model car and Alpha Neuron interconnection protocol.
The model car is comprised of two sides hardware and software sides, since we are concerned with autonomy our main focus will be the software side of the project. Thus, for the hardware parts we will use prebuilt modules, The core modules for the project are: Deep learning modules which are responsible with the use of convolutional neural networks to detect lane lines, obstacles, street signs, traffic lights and to track other vehicles in the street, the second module is sensor fusion which make use of embedded sensors to get measurements and track pedestrians, the third module is the localization module which is responsible for locating the vehicle and planning a path in order to make the car navigate in the streets safely .

The interconnection protocol is a generic protocol for agents to communicate, the protocol will allow agents to organize traffic and increase safety further.

Hardware setup:
1/10 RC chassis
Raspberry PI 3
Rasspberry PiCam
Ultrasonic sensors
Movidius Neural Compute Stick
Potential Upgrades:
360-degree rplidar
Faster Replacement for Raspberry PI
More movidius NCS.
Intel Realsense cam.
2x current configuration for intercommunication protocol testing.

11222177 10206744713275811 8568950266918335253 n

Mohamed A. added photos to project Alpha Neuron

Medium 969b0402 b090 4006 b05c 4c2b873b377e

Alpha Neuron

Autonomous Driving is one of the most interesting AI problems, and Alpha Neuron aims to accelerate the world’s transition to driverless cars as the message of today’s car manufacturers is clear now; The cars of the future will be born fully autonomous.
Alpha Neuron consist of two parts the Autonomous Agent on top of a model car and Alpha Neuron interconnection protocol.
The model car is comprised of two sides hardware and software sides, since we are concerned with autonomy our main focus will be the software side of the project. Thus, for the hardware parts we will use prebuilt modules, The core modules for the project are: Deep learning modules which are responsible with the use of convolutional neural networks to detect lane lines, obstacles, street signs, traffic lights and to track other vehicles in the street, the second module is sensor fusion which make use of embedded sensors to get measurements and track pedestrians, the third module is the localization module which is responsible for locating the vehicle and planning a path in order to make the car navigate in the streets safely .

The interconnection protocol is a generic protocol for agents to communicate, the protocol will allow agents to organize traffic and increase safety further.

Hardware setup:
1/10 RC chassis
Raspberry PI 3
Rasspberry PiCam
Ultrasonic sensors
Movidius Neural Compute Stick
Potential Upgrades:
360-degree rplidar
Faster Replacement for Raspberry PI
More movidius NCS.
Intel Realsense cam.
2x current configuration for intercommunication protocol testing.

Medium 11222177 10206744713275811 8568950266918335253 n

Mohamed A. created project Alpha Neuron

Medium 969b0402 b090 4006 b05c 4c2b873b377e

Alpha Neuron

Autonomous Driving is one of the most interesting AI problems, and Alpha Neuron aims to accelerate the world’s transition to driverless cars as the message of today’s car manufacturers is clear now; The cars of the future will be born fully autonomous. Alpha Neuron consist of two parts the Autonomous Agent on top of a model car and Alpha Neuron interconnection protocol. The model car is comprised of two sides hardware and software sides, since we are concerned with autonomy our main focus will be the software side of the project. Thus, for the hardware parts we will use prebuilt modules, The core modules for the project are: Deep learning modules which are responsible with the use of convolutional neural networks to detect lane lines, obstacles, street signs, traffic lights and to track other vehicles in the street, the second module is sensor fusion which make use of embedded sensors to get measurements and track pedestrians, the third module is the localization module which is responsible for locating the vehicle and planning a path in order to make the car navigate in the streets safely .

The interconnection protocol is a generic protocol for agents to communicate, the protocol will allow agents to organize traffic and increase safety further.

Hardware setup: 1/10 RC chassis
Raspberry PI 3 Rasspberry PiCam Ultrasonic sensors Movidius Neural Compute Stick
Potential Upgrades: 360-degree rplidar Faster Replacement for Raspberry PI More movidius NCS. Intel Realsense cam. 2x current configuration for intercommunication protocol testing.

No users to show at the moment.

No users to show at the moment.