AI RESEARCH
CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency
arXiv CS.LG
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ArXi:2604.07286v1 Announce Type: cross Autonomous vehicles deployed in remote environments typically rely on embedded processors, compact batteries, and lightweight sensors. These hardware limitations conflict with the need to derive robust representations of the environment, which often requires executing computationally intensive deep neural networks for perception.