Travis Forgach
Papers
1
Total Citations
4
H-Index
1
About
Travis Forgach is a researcher advancing the frontier of autonomous vehicle safety through Vehicle-to-Everything (V2X) communication. His work centers on solving a critical limitation of self-driving systems: the inability to perceive hazards beyond a vehicle’s direct line of sight. In his highly cited 2023 paper, “Vehicle-to-Everything Communication Using a Roadside Unit for Over-the-Horizon Object Awareness,” Forgach proposes a novel framework where roadside infrastructure relays real-time data to vehicles, effectively eliminating blind spots caused by terrain, buildings, or traffic. This approach enables automated vehicles to “see” around corners and over hills, dramatically improving collision avoidance and cooperative driving. By integrating V2X with existing sensor suites, his research bridges the gap between isolated vehicle perception and networked situational awareness. Though early in his career, Forgach’s work has already garnered attention for its practical, scalable solution to one of autonomy’s most persistent challenges. His contributions are foundational for developing safer, more reliable self-driving ecosystems, where vehicles and infrastructure communicate seamlessly to protect lives.
Research Focus
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Top Papers
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