Driving into the Future with ST Engineering Autonomous Buses

2 Dec 2020

Sebastian Yee Head of Autonomous Vehice Testing & Simulation, Urban Solutions Division 1 ST Engineering Group Vision: to be a Global Technology, Defence & Engineering Powerhouse

Aerospace Electronics • Aircraft MRO • Smart Security • Passenger-to-freight conversions • Smart rail and road solutions • Aviation asset management • Smart Connectivity including IoT solutions

Marine Land Systems • Shipbuilding • Customised mobility and security • Ship and rig related repairs, systems for defence, homeland upgrades and conversions security and commercial applications • Environmental engineering

About S$13b >S$320m 22,000 AAA *market capitalization; STI, MSCI annual R&D spending employees worldwide rated by Moody’s S&P Index Stock (~5% revenue) End-to-End Transportation Solution: Competitive Edge

Leverage Singapore’s Smart Nation ecosystem to accelerate speed of operationalization

Autonomous Buses for “First-” & “Last-Mile”, as part of the future Smart Mobility Systems

Participate in full value chain

3 | Co-confidential Shaping the Future of PublicTransport Working with regulators and members of the ecosystem

Operational Deployment Strategic Partnerships with Authorities & key players to deploy and Singapore as a Lead Userof Smart operationalise Autonomous Transports Mobility solutions

Research Institutes & Agencies Institutes of Higher Learning To develop the next generation of talents in Autonomous Systems, Focused co-invention and co-creation of technologies Sensors, Modeling andSimulation

4 | Co-confidential Gaps in AV operationalization

• By having a trove of adverse weather data in an urban environment and to use it to validate the algorithms and position AV position as truly all-weather. • Safety is paramount in any AV deployment. The ability to rigorously validate pedestrian/cyclist intention prediction algorithms for cluttered urban environment is key. • Human-like driving characteristics to enhance ride comfort for AV Bus

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12m 7m 4m party, reproduced reproduced party, 6 | Co-confidential Information Current AV Development and Trials

12m Autonomous Buses for Development of Fixed & Scheduled Services autonomous road sweeper

First fully operational driverless shuttle trial

7 | Co-confidential Challenges

• AV Bus Braking Profile can be very challenging. (Suburb to Train Station)

Peak Period Non Peak Period No seat belt for Public Transport Emergency or Hash Braking is undesirable

8 | Co-confidential Unexpected Environment Condition

Random Tree Pruning along the roadside Flooding : No more road marking

9 | Co-confidential Unique Traffic Situation (VRU)

Very “Brave” Elderly Jaywalker Zebra crossing Accident caused by Blind Spot

10 | Co-confidential Scenario Based Testing related to actual traffic requirements

11 | Co-confidential Unique Traffic Situation

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users light to moderate rain party, reproduced reproduced party, 14 | Co-confidential Information Key Takeaways/Lessons

• Validated the system performances (2019) • Service availability at 90% • 100% of confirmed booking completed • Useful data collected on: • System reliability • Commuter travel pattern and behavior • Changes in environment on the system performances • Execution of contingency plans • Public feedback / acceptances • Next stage (2021) • Explore the use of V2I/roadside sensors at challenging road junctions https://youtu.be/kXpmmoqGN8o

16 | Co-confidential Thank You…

See U in Uniquely Singapore

17 | Co-confidential