TS-073111 — Urban intersections are among the highest‑risk environments for automated and human‑driven vehicles due to occlusions, complex right‑of‑way, mixed traffic, and inconsistent connectivity. On‑board perception alone often misses beyond‑line‑of‑sight actors, while centralized or game 

TS-072304 — The Need Emergency aerial vehicles often require compact stowage for trailer transport and reliable landing capabilities on unpredictable terrain such as slopes, sand, or flooded areas. Conventional skid-based landing gear lacks the adaptability and stability needed for these conditions. A lightweig…

TS-072303 — The Need Current small aerial vehicles face significant design constraints when balancing compact storage with the need for sufficient rotor disk area for stable flight. This limitation hinders deployment in critical missions such as emergency personnel transport or humanitarian aid delivery, where …

TS-070954 — The Need Intersections are among the most dangerous areas on U.S. roadways, accounting for approximately 25% of traffic fatalities and nearly half of all injuries annually. Vulnerable Road Users (VRUs), including pedestrians and cyclists, face increasing risk due to complex traffic dynamics and limi…

TS-070632 — The Need As electric vehicles (EVs) evolve toward multi-e-axle architectures, traditional energy management strategies fall short in optimizing power distribution and minimizing energy waste. Current systems lack the predictive intelligence to adapt to dynamic driving conditions, leading to suboptim…

TS-063239 — The Ohio State University has developed a vulnerability analysis technique for connected and autonomous vehicles that assesses the vulnerability and attackability of the automotive controllers to determine the security of the system. The Need Automated vehicle technologies improve safety, assis…