Blueprint overview/Introduction
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Blueprint overview/Introduction
Zhuming Zhang Hechun Zhang Hao Zhongwang
The AI Edge is an Akraino approved blueprint family and part of Akraino Edge Stack, which intends to provide an open source MEC platform combined with AI capacities at the Edge, and could be used for safety, security, and surveillance. The MEC platform, which named ote-stack, targets on shielding the heterogeneous characteristics through underlying hardware virtualization and providing an unified access for cloud edge, mobile edge and private edge. In addition, the AI Edge utilizes the cluster management and intelligent scheduling of multi-tier clusters to enable low-latency, high-reliability and cost-optimal computing support for running AI applications at the edge. At the same time, it makes device-edge-cloud collaborative computing possible.
Application scope of Intelligent Vehicle-Infrastructure Cooperation System(I-VICS): including airport and station passenger flow grooming system, urban traffic intelligent dispatching system, expressway intelligent dispatching system, operation vehicle dispatching management system, motor vehicle automatic control system, etc. The function of intelligent transportation system: it improves the efficiency of transportation, alleviates traffic congestion, improves the capacity of road network, reduces traffic accidents, reduces energy consumption and environmental pollution through the harmonious and close cooperation of people, vehicles and roads.
Use Case
Use case 1: Safety Of The Intended Functionality (SOTIF)
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Use case 2: Cooperative intelligent transportation system：vehicular communication data exchange system
Vehicle road collaboration platform integrates sensing, communication, computing, control and other technologies, based on standardized communication protocol, realizes mutual mapping between physical space and information space, including "vehicle, traffic, environment" and other elements, standardized interaction and efficient collaboration, and uses cloud computing big data capabilities to solve systematic resource optimization and configuration problems.
The platform provides dynamic basic data such as vehicle operation, infrastructure, traffic environment and traffic management for intelligent vehicle and its users, management and service institutions，Application scenario development, verification and commercial application of vehicle communication system based on various communication modes.
The vehicular communication data exchange system to support following functions:
No. | Classification | Communication | Application |
1 | Safety | V2V | Forward collision warning |
2 | V2V/N2I | Intersection collision warning | |
3 | V2V/N2I | Left turn assis | |
4 | V2V | Blind area warning / lane change assistance | |
5 | V2V | Reverse overtaking warning | |
6 | V2V-Event | Emergency braking warning | |
7 | V2V-Event | Warning of abnormal vehicles | |
8 | V2V-Event | Vehicle out of control warning | |
9 | V2I | Warning of road danger | |
10 | V2I | Speed limit warning | |
11 | V2I | Red light warning | |
12 | V2P/V2I | Collision warning for vulnerable traffic participants | |
13 | Efficiency | V2I | Green Wave Speed Guidance |
14 | V2I | In-vehicle signs | |
15 | V2I | Congestion alert ahead | |
16 | V2V | Emergency vehicle reminder | |
17 | Information service | V2I | Car near field payment |
Use case 3: Autonomous Valet Parking
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- Automatically drive a car from a pre-defined drop-off zone (e.g. the entrance to a carpark) to a parking spot indicated by an external system.
- Park a car in a parking spot, starting in a lane near that parking spot.
- Drive out of a parking spot.
- Drive to a pre-defined pick-up zone (e.g. the exit from a carpark).
- Automatically stop for obstacles while achieving the above.
<use case 3>Use case 4: Next generation of Traffic Control in Highways
›Individualization
Variable speed guidance + personalized traffic service
Group coordination - efficient traffic
Group coordination - efficient transportation
Group control - intelligent driving Expressway
Use case 5: Smart Highway to Automated Driving under i-VICS
-High speed automatic driving management based on i-vics
Intelligent vehicle + intelligent road + Intelligent Technology Transportation Service
-Intelligent highway - an important part of self driving
Dynamic perception of traffic environment — reducing dependence on high-precision sensors
High precision mapping and positioning — effectively improve and ensure location accuracy
Coordinated decision-making of transportation subject — operation, action and decision information sharing
Where on the Edge
In the aspect of road edge computing, the new road side system（RSU） in the future will integrate a variety of communication methods such as lte-v / 5G, provide a variety of sensor interfaces and local map system, provide signal timing information and surrounding moving target information, and provide vehicle collaborative decision-making and other technologies and capabilities to build a road side edge computing node. The coordinated driving of workshop (V2V) and vehicle road (V2I) can reduce the probability of accidents by means of accident warning and avoidance. The car needs to interact the data obtained by local radar and camera with the surrounding vehicles and road infrastructure through the edge gateway, and improve the perception range, so as to achieve the cooperation between vehicles and between vehicles and roads, provide the driver with collision warning, lane change warning, adaptive cruise and other assistance, and take over the car to prevent accidents when necessary.
Overall Architecture
<This could inform the non-technical audience, but now is more geared towards a more engaged, technical audience>
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