AEye launches iDAR smarter than LiDAR for fast dynamic sensing and path planning

AEye releases True Color LiDAR, 2D RDG pixels can instantly cover voxels in every 3D point in space. According to Memes Consulting, AEye is a pioneer in robotic sensing and has recently introduced a new way of intelligent data acquisition. -- iDARTM for fast dynamic sensing and path planning. iDARTM (Intelligent Detection and Ranging) combines the world's first sensitive MOEMS LiDAR, pre-fused low-light camera, embedded artificial intelligence, software-definable and hardware-extensible, and can be based on real-time requirements Dynamic Adjustment. iDAR provides higher accuracy, longer range and more intelligent information to optimize path planning software to radically improve the safety and performance of autonomous vehicles at a lower cost. AEye's iDAR design intelligently prioritizes and interrogates intra-frame pixels (2D) and voxels (3D), which is 10 to 20 times more efficient than LiDAR's ability to aim and identify objects in the scene.
AEye launches iDAR smarter than LiDAR for fast dynamic sensing and path planning
In addition, iDAR is able to superimpose 2D images on 3D point clouds to create true color LiDAR. Its embedded artificial intelligence (AI) capabilities enable iDAR to leverage thousands of existing and custom computer vision algorithms that increase the intelligence of path planning software. In September of this year, AEye demonstrated the first 360-degree panoramic on-board solid-state LiDAR system with a detection range of 300 meters and HD resolution. Recently, AEye launched iDAR technology. Luis Dussan, founder and CEO of AEye, said: “The first generation of mechanically rotating or raster-scanning LiDAR technology has many limitations. AEye's unique architecture can solve these problems. The first generation of systems has dense sensors and data acquisition. Sampling is either undersampling, which exposes the inherent trade-off between density and latency of traditional sensors, resulting in weak or even loss of smart sensing capabilities. For example, a traditional 64-wire system can detect an object per frame (around 100 milliseconds) With IntelliSense, you can selectively re-detect any selected object twice in 30 microseconds, and the speed is increased by 3000 times. This embedded intelligence optimizes the data collection method, so we can transmit less. Data, while providing higher quality and more relevant content.” AEye also announced the iDAR Partner Development Program, which is aimed at OEM customers, Tier 1 partners, and universities interested in integrating iDAR into vehicles. The company will showcase iDAR and release its automotive product suite at CES 2018 in Las Vegas from January 9th to 12th, 2018.
One of the shortcomings of the traditional AEye LiDAR LiDAR is that most systems oversample and collect less important information such as sky, roads and trees, but undersample the critical information such as fast approaching vehicles. Therefore, it takes a lot of running power and time to extract key objects such as pedestrians, cyclists, cars and animals. AEye's iDAR technology mimics the way human visual cortical gaze and assess potential driving hazards: using distributed architecture and edge processing techniques to dynamically track targets and objects of interest while always ensuring a rigorous assessment of the surrounding environment. "Humans have the ability to respond to visual clue instinct. By incorporating intelligence into the data collection process, iDAR brings us closer to this instinctive response," said Jon Lareau, software director at AEye. "AEye's iDAR is also open. Expanding the platform allows for the integration of the best sensors to increase performance, increase redundancy, and reduce costs. Most importantly, iDAR can help our customers streamline development processes and bring better autonomous vehicles to market faster. AEye's iDAR system uses solid-state LiDAR technology based on MOEMS (micro-optical electromechanical system), the light source is 1550nm, low cost, computer vision and embedded artificial intelligence can dynamically control the homo-pixel and body of each frame in a transient scene. Prime. This enables the path planning software to process regions of interest and objects, or to apply different focus to selected objects or obstacles. By increasing the intelligence of the sensor layer, objects of interest can be identified and tracked with minimal computational delay. For example, the system can identify objects and then revisit them in the same frame, enabling the perceptual and path planning layers to perform calculations such as multi-directional velocity and acceleration vectors simultaneously, ensuring faster and better predictions of behavior and intent.
True Color LiDAR Another disadvantage of traditional LiDAR is that it does not provide enough detailed color or text information, so it is impossible to identify subtle differences in colors such as roads, markings, restriction signs, street signs, and traffic lights. iDAR's True Color LiDAR instantly overlays 2D real-world colors onto 3D data, adding computer vision intelligence to 3D point clouds. Traditional LiDAR-based systems must be post-processed, with inherent delays and computational losses due to registration and calibration. True Color LiDAR's unique blending feature enables absolute color and distance segmentation, co-location and no registration processing, so there is little computational loss. Accuracy and speed are improved when interpreting signs, emergency warning lights, brake lights, reverse lights, and traditional LiDAR “spoofed” scenes. In addition, this approach greatly increases the ability to "enhance training" for autonomous vehicles.
Definable Software and Scalable Hardware The main feature of AEye's iDAR platform is a software-definable hardware. iDAR adds an unprecedented number of feedback loops in the sensor layer, sensing layer and path planning software. By enabling customizable real-time data collection, the system can adapt to the environment and dynamically change performance based on customer/host applications and requirements. In addition, iDAR is superior to traditional LiDAR in defining areas of interest, focusing on threat detection, and/or programming for variable environments such as highway or city driving. Configurable to optimize data collection, reduce bandwidth, improve visual perception and intelligence, and plan paths for autonomous vehicles faster. AEye implements multivariate customization through its software API from the bottom layer to the top layer design system. AEye optimizes function control and places OEM and Tier 1 suppliers in the driver's seat. In addition, iDAR's system architecture allows remote firmware and software updates, enabling fast sample design without hardware replacement. iDAR is just the latest milestone in AEye's advancement in next-generation vision systems. In September of this year, the company demonstrated commercial 360-degree solid-state LiDAR on-site, providing new clues for real-time high-density point cloud collection for autonomous vehicles, as well as detecting objects up to 300 meters away.
About AEyeAEye develops advanced vision hardware, software and algorithms designed to provide "eye and visual cortex" for autonomous vehicles. Since the introduction of solid-state LiDAR scanners in 2013, AEye has taken the lead in smart sensing. The company is located in the San Francisco Bay Area and is supported by world-renowned investors such as Kleiner Perkins Caufield & Byers, Airbus Ventures and Intel Capital.

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