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.
CTO, Sense Photonics
Hod defines the technology direction and leads Sense Photonics’ next-generation lidar development team.
He started his career at Intel, designing the early Pentium chips and was in charge of semiconductor technologies at Mellanox Technologies. During his PhD, he invented the first generic-CMOS Single-Photon-Avalanche-Diodes (SPADs) and first demonstrated arrays of these devices.
Hod was Director of Technology Development at Illumina, the $45B DNA sequencing company, where he managed the development of on-chip CMOS DNA sequencers. He was later CTO at TruTag Technologies, where he conceptualized and developed an award-winning handheld and battery-operated hyperspectral camera.
Watch The Recording
Fields marked with an * are required