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AEye Introduces Groundbreaking iDAR Technology AEye Inc, a robotic perception pioneer, introduced iDAR™, a new form of intel- ligent data collection that enables rapid, dynamic perception and path planning. iDAR (Intelligent Detection and Ranging) combines the world's first agile MOEMS LiDAR, pre-fused with a low- light camera and embedded artificial intelligence – creating software-defin- able and extensible hardware that can dynamically adapt to real-time demands. iDAR will deliver higher accuracy, longer range, and more intelligent infor- mation to optimize path planning soft- ware, enabling radically improved autonomous vehicle safety and perform- ance at a reduced cost. AEye's iDAR is designed to intelli- gently prioritize and interrogate co-locat- ed pixels (2D) and voxels (3D) within a frame, enabling the system to target and identify objects within a scene 10-20x more effectively than LiDAR-only prod- ucts. Additionally, iDAR is capable of overlaying 2D images on 3D point clouds for the creation of True Color LiDAR. Its embedded AI capabilities enable iDAR to utilize thousands of existing and cus- tom computer vision algorithms, which add intelligence that can be leveraged by path planning software. The introduction of iDAR follows AEye's September demonstration of the first 360 degree, vehicle-mounted, solid-state LiDAR sys- tem with ranges up to 300 meters at high resolution. "AEye's unique architecture has allowed us to address many of the funda- mental limitations of first generation spinning or raster scanning LiDAR tech- nologies," said Luis Dussan, AEye Founder and Chief Executive Officer. "These first generation systems silo sen- sors and use rigid asymmetrical data col- lection that either oversample or under- sample information. This dynamic exposes an inherent tradeoff between density and latency in legacy sensors, which restricts or eliminates the ability to do intelligent sensing. For example, while traditional 64 line systems can hit an object once per frame (every 100ms or so), we can, with intelligent sensing, selectively revisit any chosen object twice within 30 microseconds – an improvement of 3000X. This embedded intelligence optimizes data collection, so we can transfer less data while delivering better quality, more relevant content." AEye is also announcing the iDAR Development Partner Program for OEM customers, Tier 1 partners, and universi- ties interested in integrating iDAR into their vehicles. The company is demoing iDAR and announcing its automotive product suite at CES. Agile LiDAR A shortcoming of traditional LiDAR is that most systems oversample less impor- tant information like the sky, road and trees, or undersample critical information such as a fast-approaching vehicle. They then have to spend significant processing power and time extracting critical objects like pedestrians, cyclists, cars and ani- mals. AEye's iDAR technology mimics how a human's visual cortex focuses on and evaluates potential driving hazards. It uses a distributed architecture and at- the-edge processing to dynamically track targets and objects of interest, while always critically assessing general sur- roundings. "Humans have an instinctive ability to respond to visual cues. By fusing intel- ligence within the data collection process, iDAR takes us a step closer to this instinctive response," said AEye Director of Software Jon Lareau. "AEye's iDAR is also an open and exten- sible platform, allowing us to integrate best-of-breed sensors to improve per- formance, increase redundancy, and reduce cost. Most importantly, iDAR should help our customers streamline their development process and bring bet- ter autonomous vehicles to market, faster." AEye's iDAR system uses propri- etary low-cost, solid-state beam-steering 1550nm MOEMS-based LiDAR, com- puter vision and embedded artificial intelligence to enable dynamic control of every co-located pixel and voxel in each frame within rapidly changing scenes. This enables path-planning software to address regions and objects of interest, or to apply differentiated focus on select objects or obstacles. By adding intelli- gence to the sensor layer, objects of inter- est can be identified and tracked with minimal computational latency. For example, the system can identify objects and then revisit them even within the same frame giving the perception and path planning layers the ability to make calculations such as multi-directional velocity and acceleration vectors simul- taneously. This allows for faster and bet- ter predictability of behavior and intent. True Color LiDAR An additional limitation of traditional LiDAR is that it doesn't provide sufficient- ly detailed information on color or text, so it can't decipher color nuances in road striping, curbs, signage and traffic lights. iDAR's True color LiDAR instantaneously overlays 2D real-world color on 3D data, adding computer vision intelligence to 3D point clouds. Traditional LiDAR-based systems have to post-process, with inher- ent delays and computational drain due to registration and alignment challenges. True Color LiDAR's unique fusion enables absolute color and distance seg- mentation, and co-location with no regis- tration processing, so almost no computa- tional penalty. This enables much greater accuracy and speed in interpreting signage, emergency warning lights, brake versus reverse lights and other scenarios that have historically been tricky for legacy LiDAR- based systems to navigate. In addition, this approach dramatically expands the ability to do "enhanced training" for autonomous vehicles. Software-Definable and Extensible Hardware A key feature of AEye's iDAR platform is its software-definable hardware. iDAR adds three feedback loops that do not exist today: one at the sensor layer, one at the perception layer and another with path planning software. By enabling cus- tomizable data collection in real-time, the system is able to adapt to the environ- ment and dynamically change perform- ance based on the customer's/host's applications and needs. In addition, it can emulate legacy systems, define regions of interest, focus on threat detection and/or be programmed for variable envi- ronments, such as highway or city driv- ing. This configurability leads to opti- mized data collection, reduced band- width, improved vision perception and intelligence and faster motion planning for autonomous vehicles. By designing its system from the ground up to accommodate multivariable customization through its software API, AEye optimizes functional control and puts OEMs and Tier 1s in the driver's seat. In addition, iDAR's system archi- tecture allows for remote updates of the firmware and software, which enables rapid prototyping without requiring hard- ware modifications. iDAR is just the latest milestone AEye has achieved in advancing next generation vision systems. In September, the company announced completion of a live metropolitan demonstration show- casing vehicle-mounted solid state com- mercial LiDAR with 360-degree cover- age. The demo broke new ground in enabling autonomous vehicles to collect real-time high density point clouds while simultaneously detecting objects up to 300 meters. Other recent company announcements include recent additions to executive team and investors. About AEye AEye develops advanced vision hard- ware, software and algorithms that act as the eyes and visual cortex of autonomous vehicles. Since its demonstration of its solid state LiDAR scanner in 2013, AEye has pioneered breakthroughs in intelli- gent sensing. The company is based in the San Francisco Bay Area, and backed by world-renowned investors including Kleiner Perkins Caufield & Byers, Airbus Ventures and Intel Capital. For more information, visit www.aeye.ai. Lux by Bracketron: Breaking the Phone Mount Mold Forever Today's smartphones have more and more applications for daily use such as GPS, music and Bluetooth hands-free calling. Smartphone holders have become a must-have accessory for peo- ple to be able to use their phones safely in their vehicles. In some states, it's illegal to hold your phone while you're driving. Most manufacturers of smartphone mounts have solely focused on function and features to sell their products in the market. 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