Autonomous System for Ground Transport

Technology Roadmap Sections and Deliverables

The first point is that each technology roadmap should have a clear and unique identifier:

• 2ASGT - Autonomous System for Ground Transport

This indicates that we are dealing with a “level 2” roadmap at the product level, where “level 1” would indicate a market level roadmap and “level 3” or “level 4” would indicate an individual technology roadmap.

Roadmap Overview

The overview and working principle of autonomous ground transport is depicted below

Autonomous transport has four main components, namely (1)Perception, (2)Localization, (3)Planning, and (4)Control. The four components work together as depicted in the overview to enable the autonomous capabilities in the transport system.

(1) Perception The data from sensors (radars, lidars, cameras etc) are integrated to build a comprehensive and detailed understanding of the vehicle’s environment

(2) Localization GPS and algorithms are employed to determine the location of the vehicle relative to its surrounding. It is critical for the accuracy to be within the order of centimeters to ensure that the vehicle stay on the road.

(3) Planning With the understanding of the environment and the vehicle's relative location within, a transport route can be planned to get to the desired destination. This involves predicting the behavior of other entities (other vehicles, pedestrians etc) in the immediate proximity followed by deciding the appropriate actions to be taken in response to them. Lastly, a route is developed to reach the destination within required conditions (safety, comfort etc)

(4) Control The planned route is passed onto the vehicle. In this execution phase, the route is translated into control instructions for the vehicle to turn the steering wheel, hit the accelerator or the brake etc.

The autonomous transport technology is intended to bring about improvements in mainly safety and mobility. The number of fatalities in motor incidents are significant each year and autonomous vehicles could potentially reduce that number with the use of software that are less error-prone or less susceptible to distractions than humans. At the same time, autonomous technology can offer mobility to disable or elderly individuals where it is needed the most.

Design Structure Matrix (DSM) Allocation

The autonomous system for ground transport technology sits at level 2 abstraction and is a specification of ground transport at level 1. It can be classified into 5 different level of autonomy. Each level of autonomous system requires a certain number of enabling technologies such as sensors and cameras, which are the level 4 abstraction in the system architecture hierarchy. Going further, it could be insightful for roadmap construction to further decompose the level 4 systems into more specific types of technologies. The Object-Process-Language (OPL) description complements the second level autonomous system for ground transport (2ASGT) tree.

Roadmap Model using OPM

We provide an Object-Process-Diagram (OPD) of the 2ASGT roadmap in the figure below. This diagram captures the main object of the roadmap (Autonomous System for Ground Transport), its 2-level decomposition into enabling systems (Positioning and Sensing Technologies, Data Storage and Transmission Technologies, Computation and Control Technologies), its characterization by Figures of Merit (FOMs) as well as the main processes and other objects it interacts with.

An Object-Process-Language (OPL) description of the roadmap scope is auto-generated and given below. It reflects the same content as the previous figure, but in a formal natural language.

Figures of Merit

Technology Strategy Statement

A technology roadmap should conclude and be summarized by both a written statement that summarizes the technology strategy coming out of the roadmap as well as a graphic that shows the key R&D investments, targets and a vision for this technology (and associated product or service) over time. For the 2SEA roadmap the statement could read as follows:

Our target is to develop a new solar-powered and electrically-driven UAV as a HAPS service platform with an Entry-into-Service date of 2030. To achieve the target of an endurance of 500 days and useful payload of 10 kg we will invest in two R&D projects. The first is a flight demonstrator with a first flight by 2027 to demonstrate a full-year aloft (365 days) at an equatorial latitude with a payload of 10 kg. The second project is an accelerated development of Li-S batteries with our partner XYZ with a target lifetime performance of 500 charge-discharge cycles by 2027. This is an enabling technology to reach our 2030 technical and business targets.