Autonomous systems increasingly rely on data fusion from an array of sensors. Lidar systems, which use light to generate three-dimensional images, are expected to deliver high-quality and high-resolution data across a broad range of operating conditions and at a low cost.
Most lidars in the market utilize legacy technologies such as mechanical scanning, long-coherence-length lasers, and avalanche photodiodes, and consequently offer limited performance and robustness at a relatively high price point. Newer, solid-state systems, still scan the field-of-illumination or the field-of-view and thus trade off resolution, field-of-view and frame rate, may suffer from motion artifacts , and require careful and expensive optical alignments.
This talk will describe a global-shutter lidar system, which, when combined with novel signal processing algorithms, delivers high-resolution, wide-field and long-range 3D data at a fraction of the cost of legacy systems. We will discuss design trade-offs, technological challenges and the wide array of applications which will be enabled by this exciting technology.
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