Allan Tengg
Papers
1
Total Citations
8
H-Index
1
About
Allan Tengg is a researcher whose work lies at the critical intersection of embedded systems, functional safety, and autonomous driving perception. His most-cited paper, "A 3D Time-of-Flight Mixed-Criticality System for Environment Perception" (2017, 8 citations), addresses a fundamental challenge in automated driving: ensuring robustness and safety through redundant, diverse sensor systems. Tengg’s contributions focus on designing mixed-criticality architectures that can guarantee functionality under any scenario, a key requirement for real-world deployment. By integrating 3D Time-of-Flight sensors with safety-critical system design, his work helps bridge the gap between experimental perception algorithms and the stringent reliability demands of automotive standards. While his citation count reflects a specialized, emerging field, Tengg’s research is foundational for engineers developing fail-operational perception stacks, where sensor diversity and temporal determinism are paramount. His approach exemplifies the shift from single-sensor solutions to holistic, safety-assured system architectures—a direction that will only grow in importance as autonomous vehicles move toward series production. For students and researchers in embedded safety or autonomous systems, Tengg’s work offers a clear model of how to marry hardware-level constraints with high-level perception goals.
Research Focus
Key Achievements
Top Papers
- 1A 3D Time-of-Flight Mixed-Criticality System for Environment Perception8 citations · 2017