About OTIV:
OTIV is a company specializing in AI-driven automation solutions for rail transport. Their technology focuses on improving the safety, efficiency, and reliability of rail operations through driver assistance, tele-operation and fully autonomous solutions. OTIV’s solutions help rail operators reduce human errors, optimize traffic flow, and enhance situational awareness using sensors, cameras, and AI-based processing. They are working with leading industrial, urban and mainline rail networks, supporting a more sustainable and intelligent future for rail mobility.
About Sam De Smet:
Sam is the co-founder of OTIV, a Ghent-based company specializing in autonomous technologies for rail transport. In his role, he leads the company’s strategy and commercial development. Before founding OTIV, Sam worked as a consultant at Roland Berger and the Boston Consulting Group, focusing on challenges in the transportation sector.
My Keytakeaways
- Innovation Requires Leadership: True change in the rail industry comes from a blend of innovative ideas and strong leadership.
- Step-by-Step Automation: Instead of jumping directly to full autonomy, progress is made in stages—from enhancing driver assistance systems to remote operations, and finally achieving complete automation.
- Tackling Real Challenges: Automation addresses major issues like driver shortages, high costs, and operational inflexibility.
- Tailored for Various Environments: Whether it's industrial sites, urban tram networks, or mainline operations, solutions must adapt to different contexts.
- Safety is Paramount: Achieving high safety standards (SIL) is critical, relying on extensive real-world testing and simulation to build a robust safety case.
- Clear Milestones: Near-term goals include launching advanced driver assistance and remote operations tests, with full automation targeted within the next decade.
- Customer-Centric Approach: Innovation is driven by listening to end users’ needs, not just the requirements of operators or manufacturers.
- Overcoming Testing Barriers: A key challenge is obtaining enough real-world safety data for regulatory approval, which requires breaking a “vicious circle.”
- AI as the Enabler: Artificial intelligence serves as the smart “brain” behind the systems, enhancing control and maintenance.
- Integrated Future Vision: The ultimate goal is a seamless, interconnected transport network that leverages both traditional rail and future technologies like Hyperloop.
Sebastian Sperker
sebastian@railup.club
www.railup.club
