Recent advances in neural radiance fields (NeRFs) achieve state-of-the-art novel view synthesis and facilitate dense estimation of scene properties. However, NeRFs often fail for outdoor, unbounded scenes that are captured under very sparse views with the content concentrated far away from camera, as is typical field robotics applications. In particular, NeRF-style algorithms perform poorly: 1)...

A sustainable chemical industry needs to quantify its emissions and resource consumption by life cycle assessment (LCA). However, LCA requires detailed mass energy balances, which are usually not available at early process development stages. Here, we introduce a framework (A PROcess-specific, PRedictive impact AssessmenT method for Emerging processes, APPROPRIATE) provide fully automated, pred...