{'fraction_non_alphanumeric': 0.024725274725274724, 'fraction_numerical': 0.0, 'mean_word_length': 5.75, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Fiber-based Frequency Modulated LiDAR With MEMS Scanning Capability for Long-range Sensing in Automotive Applications

Safe operation of driver assistance systems, especially at higher speeds, remains a challenge. For this automotive application, we propose a long-range coherent LiDAR system concept with two-dimensional micro electro-mechanical system (MEMS) scanning and sparse sensing capability. We address system design challenges for the transmitter, the fiber-based optics and coherent receiver, and the impact on MEMS mirror design. Furthermore, we compare compressed sensing and deep learning techniques to implement sparse sensing and we provide preliminary results of the systems performance with a simplified setup.