In Vehicle Implementation Experience: Objectives and Definitions

OpenVINO Driver Assistance is a Computer Vision system based on Machine Learning that allows real time monitoring of the vehicle driver’s behavior in order to detect drowsiness and distraction gestures, providing information about potential dangerous traffic situations.

This document defines the scope of the in-vehicle implementation PoC of the OpenVINO Driver Assistance System.

Objectives

1. To validate End-to-End System Integration: Mechanical-Electrical-Hardware-Software
2. To learn about the challenges of real life mechanical and electrical installations:

• Physical device and camera installation
• GPS and Modem installation.
• Power wires connection
• CAN bus connection

3. Hardware testing under real life conditions:

• HW/SW integration performance testing.
• Testing Detection Models running under different lighting conditions.

Assumptions

1. A third party truck borrowed specifically for the PoC will be used. Efforts will be made to make the trial the most unobtrusive so that there is no business impact to the truck’s owner
2. Safety first: in order to minimize the risk of damages to the driver, the truck or the device, the PoC will be supervised, so that no need for permanent connections will be required
3. The Implementation, testing process and uninstallation process must be completed in one day’s time.
4. The installation of the testing devices will be temporary and easy to remove
5. One hour (1h) of testing time should allow to gather valuable enough information to assess the behavior of:

• Detection Models
• GPS integration
• CAN bus integration
• Cloud Integration
• 3G/4G Connectivity
• Device behaviour

Initial Steps

1. Installation logistics:

• Location needs to be selected – track where to run the test.
• Vehicle availability will be coordinated with the truck’s owner-
• Electrical Technician will be required on-site for the power wiring.
• Workshop availability will be coordinated in order to have the room and tools required for the installation.

2. Cabling – Wire connections.
3. Mechanical attachment kit for the device: a special bracket will be needed in order to fix the device to the truck chassis.
4. Equipment for photo and video registration.

Output

1. Installation/Testing/Uninstallation processes video and photo records
2. Actual results documentation
3. Data Set (GPS position tracks, CAN bus messages, system detection data).

Post-Test Activities

1. Data consolidation and Analysis
2. CAN bus messages processing of the basic generic parameters:

• Speed
• RPM
• Fuel Level

3. White Paper production
4. Retrospective Meeting
5. Publishing and Update of repositories.