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 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 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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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