It’s getting harder and harder to squeeze more performance out of your phone’s camera hardware. That’s why companies like Google are turning to computational photography: using algorithms and machine learning to improve your snaps. The latest research from the search giant, conducted with scientists from MIT, takes this work to a new level, producing algorithms that are capable of retouching your photos like a professional photographer in real time, before you take them.
 How LiDAR Delivers Critical Distance-Sensing for Self-Driving CarsSponsored by Maxim Integrated Commercialization of autonomous cars represents an exciting journey ahead, and LiDAR technology in ADAS is right in line to become a significant player in the future of autonomous vehicles. Its performance depends on the optical front-end, as well as how the signal is transmitted through the signal chain and then processed. An important component in this signal chain is the transimpedance amplifier (TIA). Read more for an overview of how LiDAR works and what to look for in an effective TIA. |
