Webinar
Beyond Cameras and LiDAR: How to Achieve 24/7 Reliability in Extreme Rail Environments
Featuring Thomas Curran in conversation with Lido Costa, ATO consultant for DB Cargo
What will you learn?
The session explores the future of railway autonomy through four targeted questions covering emerging ATO standards, implementation hurdles, and the transformative potential of long-range radar. Key takeaways include:
- • Addressing Perception Gaps: Traditional optical and LiDAR systems are identified as safety liabilities because they fail in common rail conditions like dust, fog, and glare.
- • Physics-Based Reliability: For true 24/7 uptime, the industry must shift toward sensor technology that is physically immune to atmospheric interference rather than relying solely on software fixes.
- • Proven Mission-Criticality: Real-world data from extreme environments confirms that all-condition sensors are essential for moving autonomous technology from the testing phase into full-scale operations.
- • Establishing the ATO Baseline: High-integrity, all-weather perception is framed as the non-negotiable foundation for achieving Level 3 (GoA3) and Level 4 (GoA4) Automatic Train Operation.