Driving into the Future with ST Engineering Autonomous Buses - Sebastian Yee 2 Dec 2020 - ITU
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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 AAA 22,000 *market capitalization; STI, MSCI annual R&D spending rated by Moody’s S&P employees worldwide Singapore 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 Public Transport Working with regulators and members of the ecosystem Operational Deployment Strategic Partnerships with Authorities & key players to deploy and Singapore as a Lead User of 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 and Simulation 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 POC & POV
Our Autonomous Transportation System Trial & Deployment Information contained in this document is proprietary to ST Engineering Land Systems Ltd. No part of it is to be disclosed to any third party, reproduced in part or in whole or used in any manner whatsoever without the written approval of ST Engineering Lands Systems Ltd. Public Trial & Service Sentosa Resort Island 2018 Keihanna Science City (Japan)2019 2024 - Science Park 2 2020 2027 Jurong Island Industrial Park 2020 Jurong Town 2023 Punggol Digital District 2024 2023 2022 Closed Service 2019- 2020 To be announced Feb 2021 2018 2020 Sentosa Jurong Island 12m 7m 4m 6 | Co-confidential
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 No seat belt for Public Transport Non Peak Period 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 12 | Co-confidential
13 | Co-confidential
Public Trial of Autonomous Shuttles at Sentosa Information contained in this document is proprietary to ST Engineering Land Systems Ltd. No part of it is to be disclosed to any third party, reproduced in part or in whole or used in any manner whatsoever without the written approval of ST Engineering Lands Systems Ltd. More than Average commuter rating 6,000 4.55 passengers on a scale of 1-5 Background Public Road Trial Members of public • To provide important insights • 6-month Public Trial visiting Sentosa were able to hail our autonomous into the commuter experience, shuttle via the Ride Now infrastructural features, mind- • 4 units of autonomous buses Sentosa mobile app sets acceptance and how 5.7km route Autonomous Buses interact with other vehicles and road • Day and night operations in users light to moderate rain 14 | Co-confidential
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
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