⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一款用于汽车自动驾驶的256×192像素、30fps直接飞行时间（dToF）LiDAR传感器，采用8路电流积分型跨阻放大器（TIA）和混合脉冲位置/宽度转换器，并通过强度图像与CNN引导的3D修复技术提升深度图像质量，实现了200米级探测距离和高成像质量。
Position/Width Converter, and Intensity/CNN-Guided 3D Inpainting Chaorui Zou1, Yaozhong Ou1, Yan Zhu1, R. P. Martins1,2, Chi-Hang Chan1, Minglei Zhang1 University of Macau, Macau, China Instituto Superior Tecnico/University of Lisboa, Lisbon, Portugal 1 2 Sensors with high-quality imaging and a 200m-level detection range are essential for Level 4 autonomous driving and beyond. Sensor fusions present immense promise for system robustness to improve driving safety and reliability, while LiDAR stands as a prospective candidate as it offers both high image resolution and depth perception with time-of-flight (ToF). Strong background light contributes the most noise power to >100m LiDAR systems, which drowns signals with conventional transimpedance amplifiers (TIAs) [2]. Pixel accumulating can improve SNR [5] but blurs the image when at a 200m distance. Histogramming [4] enhances the image but deteriorates the frames per second
Using 8× Current-Integrating-Based TIA, Hybrid Pulse