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" ... Object resolution dictates the confidence level for recognition, crucial for perception and control actions in autonomous cars. Detecting and recognizing tire debris or a brick (typically 6” or 15 cm) typically requires a resolution of 8 cm (at least 2 pixels are required for recognition, 3 is ideal). Doubling the range from 200m to 400m requires the angular resolution to improve from 0.5 mrad to 0.25 mrad, increasing the amount of raw data and compute bandwidth by 2X. This results in higher optics and compute costs. It also increases the latency, requiring higher perception range or a reduction in vehicle speed (see Figure 1). Hopefully, Figure 3 articulates this circularity more clearly. ... "
" ... Proof of concept of a ToF system have been demonstrated with this technique using 1550 nm laser sources and achieved range performance of 15-50m with 0.1° (1.5 mrad) angular resolution, FOV of 1° x 1°, at frame rates of 5 Hz. Steven Spector claims that Draper’s simulations show that 200 m ranges at 20 Hz and 60° x 20° FOV are achievable. I asked him why readers should believe this large performance extrapolation of ~20,000X. “The path to longer ranges and higher pixel rates is fairly straightforward. Our average laser power (of a few milliwatts) is about 100-1000x less than we expect to have available in an automotive LiDAR and our receiver aperture area is nearly 100x smaller. Our work, so far, has focused on demonstrating the MEMS technology itself. Scaling rules for LiDAR are well understood, so we have high confidence about how our technology will scale. Now that we have demonstrated the MEMS technology, we can turn our attention to building an entire LiDAR system that will meet automotive requirements.” ... "