Search papers, labs, and topics across Lattice.
The University of Texas at Austin
3
0
6
Achieve more reliable ADAS by using a physics-informed neural network that leverages damper characteristics to estimate wheel load more accurately than existing methods.
Achieve better video editing without retraining by dynamically locking background features based on a "hallucination metric" that detects when the diffusion model is about to go astray.
LLMs can boost autonomous driving behavior classification accuracy to over 94% by fusing numerical time-series data with high-level semantic features.
