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JSSC 2025第11期RF & Wireless28nm

NeRF-Navi An Energy-Efficient NeRF 3-D Path Planning Processor With Reconfigurab

NeRF-Navi是一款高效节能的3D路径规划处理器,通过创新设计降低能耗并保持高精度。
28nm CMOS, 6.48mm² die area, 1.2–8.8× lower path planning energy per task, 1.7–124× lower EDP
NeRF路径规划能效优化近似计算硬件加速
双注意力神经路径采样(DANPS)引擎减少冗余批次,节省96.2%系统能量
近似-精确(A2)核心与误差可补偿减少树(ECRT)引入三种近似计算模式,精度损失小于1.6%
离群通道位卸载核心和位分配器(BA)卸载稀疏MSB位,减少36%系统能量
Abstract
An implicit neural representation (INR) continu- ously encodes a 3-D space using a neural network. Neural radiance field (NeRF), a type of INR, achieves a high path planning success rate of 98.6%. It leverages the continuous space representation ability of NeRF. However, accelerating NeRF path planning on edge devices faces limitations due to the excessive computational load. In this article, we present NeRF-Navi, an accurate and energy-efficient 3-D NeRF path planning processor with three key f