Building a Smart City in Automotive

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This presentation is dedicated to a concept of a smart city where vehicles communicate with each other and with city infrastructure objects. This presentation is based on a PoC developed by GlobalLogic experts. The respective talk was held by Viktoriia Taraniuk (Associate Manager, Consultant, GlobalLogic) at GlobalLogic Embedded TechTalk #5 on June 21, 2018.

Engineering

Smart city technologies introduction
Virtualization XEN
V2V, BSM
802.11p (ready)V2I V2P
LTE Big data

• Isolation Instrument cluster and
infotainment with Hypervisor
• Simulation of city infrastructure with
• Simulation of car driving with GPS and
car control module
• Simulation of ECU module on VWS
• Cars communication via V2X
• Simulation of ECU module
Solution
Real world simulation
• Connectivity
• V2X, BSM
• ECU cross platform integration
• HMI (Linux, Android)
• Integration with Open street
maps
• Hypervisor integration
Technology

Architecture
PoC consists of three main modules
-Virtual World Server (generates various
sensors data for each car in a system and
sends them to proper boards)
-Smart City Server (collects data from
every board, does data analysis and
displays cars on a common map)
-Instrument Cluster and IVI module (used
on different test boards)
System Components

Demo Stand
-Simulation of city infrastructure on
OpenStreetMap
-Aggregation of Instrument cluster
values in one server
-Car control with GPS tracking
-System could be used under heavy
traffic and can support almost unlimited
number of devices
-Integration with different platforms
(Intel, Nvidia, Renesas, Qualcom)

Collision Prediction
V2V BSM Exchange
Near-field Object Mapping
Collision Warning

• Step 1. Lane recognition
o Update City Map Server (based on OpenStreetMaps) to send info about lanes
o Update Car Positioning Representation to recognize multi-lane roads and position car
accordingly
o Update V2X messaging to include lane information
• Step 2. Weather Hazard implementation
o Update IC and Virtual World Server to add weather sensor emulation feature
o Implement new class of BSM messages to exchange weather hazard information
o Implement internal logic to handle data from emulated sensors and BSM weather messages
• Step 3 (optional). Xen integration
o Cooperate with Xen team to bring up virtualization platform
• Step 4 (optional). Physical robot cars (at least two are needed for demo)
o Build a robocar and setup SmartCity environment on it
o Deploy lane recognition
o Implement BSM-based steering functions
Default configuration includes Raspberry board, Line Tracking
Sensor and robot platform (~100$). Can be extended with LIDAR,
dedicated automotive boards, real sensors, etc.
Planned Scenarios

Planned Scenarios
Following real life cases could be emulated inside system:
• SSA (Stop Sign Assist)
• IMA (Intersection Movement Assist)
• Electronic Emergency Brake Light (EEBL)
• Forward Collision Warning (FCW)
• SLTA (Signalized Left Turn Assist)
• RLVW (Red Light Violation Warning)
• CSW (Curve Speed Warning)
• SWIW-RS (Spot weather information warning-reduced speed)
• Blind Spot Warning (BSW) and Lange Change Warning (LCW)
• Do Not Pass Warning (DNPW)

Slide 13 CONFIDENTIAL
SDLC and development infrastructure
Requirements Development Review CI
Testing Deployment

Solution
Achivements
January 9 –
12, 2018
February 27-
28, 2018
March
18, 2017
April 14,
2018
In-demand expertise and feature demo stand saw
SmartCity used for pre-sales and HR events:
● Tech talks
● Hiring events
● Office tours
● Mentoring and trainings
● External Marketing Events
● As proof of expertize for potential Customers

Developers
■ Infotainment
■ Virtualization
■ Maps improving
■ Android
■ YOCTO
■ Infrastructure development
Architect
■ Architecture design
Tasks to be done….
QA
■ QA Automation
■ Testing Factory
DevOPS
■ CI Jenkins
■ Deployment automation
■ Architect

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