Edge-native CLIFE framework enhances roadside VRU perception

Researchers have developed CLIFE, a new framework for edge-deployable roadside perception of vulnerable road users (VRUs). This system integrates targetless online calibration and lightweight late-fusion tracking, operating entirely on a single embedded device without cloud offloading. CLIFE demonstrates substantial improvements in perceptual range and robustness compared to individual sensors, achieving a high throughput of 53.2 FPS on the Jetson AGX Thor, making it suitable for real-time intersection applications. AI

IMPACT This edge-native framework could enable more robust and real-time safety applications at intersections by improving perception of vulnerable road users.

RANK_REASON The cluster contains a research paper detailing a new framework for computer vision. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

• Chattanooga
• Hoang H. Nguyen
• Jetson AGX Thor
• Veiligheidsregio Utrecht

• paper
• product
• infra

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