Frequently Asked Questions

Product Performance & Technology

How does AEye's iDAR technology compare to human perception in terms of speed and accuracy?

AEye's iDAR technology is engineered to exceed human perception in both speed and accuracy. While the human visual cortex processes up to 580 megapixels of data at speeds up to 27Hz, iDAR sensors can achieve frame rates exceeding 100Hz—over three times faster than human vision. Additionally, iDAR's object revisit rate is greater than 500Hz, allowing it to revisit objects within microseconds to a few milliseconds, compared to hundreds of milliseconds for conventional LiDAR systems. This enables faster, more accurate object classification and situational awareness for autonomous systems. [Source]

What is the significance of object revisit rate in LiDAR systems?

The object revisit rate refers to how quickly a LiDAR system can re-examine the same object within a scene. For AEye's iDAR, this rate is in the microseconds to a few milliseconds range, which is up to 3000 times faster than conventional LiDAR systems. A higher object revisit rate allows for more confident and accurate object classification, which is critical for safety in autonomous vehicles and advanced perception systems. [Source]

How does AEye's iDAR system improve autonomous vehicle safety?

AEye's iDAR system enhances autonomous vehicle safety by enabling rapid, repeated detection of objects within a single frame. This reduces processing times for advanced algorithms that must correlate multiple moving objects, resulting in faster and more reliable decision-making. The system's ability to revisit multiple points of interest within microseconds ensures that critical objects are accurately identified and tracked in real time. [Source]

What is the difference between frame rate and object revisit rate in LiDAR?

Frame rate measures how often a LiDAR system captures a complete scene per second, while object revisit rate measures how quickly the system can re-examine the same object within a scene. In conventional LiDAR, these rates are typically the same, but AEye's iDAR can revisit objects much faster than its frame rate, enabling more accurate and timely perception. [Source]

Why is reducing object revisit time important for artificial perception?

Reducing object revisit time is crucial because it allows advanced perception algorithms to process and correlate data from multiple moving objects more efficiently. Shorter revisit times mean that the system can quickly confirm the presence and movement of objects, leading to safer and more reliable autonomous operation. [Source]

How does iDAR take the guesswork out of artificial perception?

According to Dr. Allan Steinhardt, AEye's Chief Scientist, iDAR replaces guesswork with actionable data by enabling rapid, repeated, and precise detection of objects. This high-confidence data supports more accurate decision-making in autonomous systems. [Source]

What are the key performance highlights of AEye's lidar solutions?

AEye's lidar solutions offer dynamic scan patterns, ultra-long-range detection (up to one kilometer with the Apollo system), high resolution, adaptability to challenging environments (rain, darkness, fog), future-proof technology with over-the-air updates, and flexible placement options. These features make AEye's products suitable for safety-critical and efficiency-driven applications. [Source]

How does AEye's technology perform in adverse weather and lighting conditions?

AEye's lidar systems are designed to perform reliably in challenging environments, including rain, darkness, and fog. This ensures consistent performance and operational reliability for applications where safety and uptime are critical. [Source]

What technical documentation is available for AEye's products?

AEye provides detailed specification sheets, white papers, case studies, and technology insights. For example, the Apollo solution's performance specifications can be downloaded, and in-depth analyses are available on topics like LiDAR rate, resolution, and range. Visit AEye's Resources Page for a complete collection.

What integrations does AEye offer for its lidar solutions?

AEye's Apollo sensor is fully integrated with the NVIDIA DRIVE AGX Platform, including the NVIDIA AGX DRIVE Thor™, combining long-range lidar perception with advanced AI compute. OEM integration options are also available for behind-the-windshield, roof, or grille placement. [Source]

Features & Capabilities

What features make AEye's lidar solutions unique?

AEye's lidar solutions feature dynamic scan patterns, software-defined architecture for customization, ultra-long-range detection, high resolution, adaptability to challenging environments, future-proof design with over-the-air updates, and flexible mounting options. These features enable superior safety, efficiency, and adaptability across industries. [Source]

Does AEye support software-defined lidar technology?

Yes, AEye's lidar solutions are software-defined, allowing for customization and scalability without hardware changes. This enables adaptation to specific customer needs and future requirements through over-the-air updates. [Source]

What is the detection range of AEye's Apollo lidar system?

The Apollo lidar system from AEye can detect objects at distances of up to one kilometer, making it ideal for highway autopilot and high-speed driving scenarios. [Source]

How does AEye's dynamic scan pattern feature work?

AEye's dynamic scan pattern technology allows its lidar to adjust scan patterns in real time, focusing on critical areas of interest. This enhances safety and efficiency, especially in applications like autonomous driving and smart infrastructure. [Source]

Can AEye's lidar be updated after deployment?

Yes, AEye's lidar solutions are future-proof and support over-the-air updates, ensuring the technology remains relevant and adaptable to evolving needs without requiring hardware changes. [Source]

What mounting options are available for AEye's lidar systems?

AEye's compact lidar design supports various mounting options, including in-cabin, on the roof, or in the grille, catering to different user requirements and vehicle designs. [Source]

Use Cases & Industry Applications

What industries benefit from AEye's lidar technology?

Industries benefiting from AEye's lidar technology include automotive, trucking, smart infrastructure, aviation, defense, rail, and logistics. These sectors leverage AEye's solutions for enhanced safety, operational efficiency, and adaptability. [Source]

What are some real-world use cases for AEye's lidar solutions?

Real-world use cases include pedestrian detection in challenging scenarios, obstacle avoidance, differentiating between real and false obstacles, abrupt stop detection, adapting to new challenges via software updates, and optimizing lidar placement for obstacle detection. Detailed case studies are available on AEye's resources page. [Source]

Who are some of AEye's customers and partners?

AEye's customers and partners include Continental (for automotive sensor production), Sanmina Corporation (manufacturing for non-automotive markets), and NVIDIA (integration with NVIDIA DRIVE autonomous vehicle platform). These relationships demonstrate AEye's broad industry reach and trust. [Source]

What are some documented success stories of AEye's technology?

Success stories include enhanced safety through pedestrian detection, real-time obstacle response, adaptability to challenging environments, and operational efficiency improvements. Notable case studies are 'A Pedestrian in Headlights', 'Flatbed Trailer Across Roadway', and 'Obstacle Avoidance'. Full details are available on AEye's resources page. [Source]

How does AEye's technology address industry-specific pain points?

AEye's technology addresses pain points such as early detection for safety, customization for unique requirements, reliable performance in adverse conditions, future-proofing through software updates, and operational efficiency. Each of these is demonstrated in industry-specific case studies available on the resources page. [Source]

Competition & Comparison

How does AEye's lidar technology differ from Velodyne?

Velodyne offers traditional lidar systems with fixed scan patterns and a focus on high-resolution imaging. In contrast, AEye provides dynamic scan patterns, software-defined architecture for customization, and future-proof technology with over-the-air updates, offering greater adaptability and scalability. [Source]

What sets AEye apart from Luminar in lidar technology?

Luminar focuses on long-range, hardware-centric lidar with limited software-defined capabilities. AEye, on the other hand, offers dynamic scan patterns, adaptability to challenging environments, and flexible mounting options, making it suitable for a broader range of applications and conditions. [Source]

How does AEye compare to Innoviz in terms of lidar customization?

Innoviz offers solid-state lidar with a focus on automotive applications but is limited in software-defined customization. AEye's lidar solutions are fully customizable via software, allowing for greater versatility and future-proofing through over-the-air updates. [Source]

What are the advantages of AEye's lidar for different user segments?

Engineers benefit from ease of integration and validation tools; product managers value scalability and future-proofing; safety officers appreciate enhanced detection and compliance; executives are drawn to operational efficiency and ROI. These tailored advantages make AEye suitable for a wide range of roles and industries. [Source]

Why should a customer choose AEye over alternatives?

Customers should consider AEye for its dynamic scan patterns, software-defined architecture, future-proof design, high performance, and flexible placement options. These features provide scalability, adaptability, and efficiency across diverse applications. [Source]

Support, Implementation & Resources

How easy is it to implement AEye's lidar solutions?

AEye's products are designed for ease of integration with existing systems, supported by comprehensive technical support, validation testing tools, and user education resources. This ensures a smooth and efficient onboarding process for customers. [Source]

What support does AEye provide during implementation?

AEye offers direct technical assistance, extensive documentation, tutorials, hands-on training, and validation tools to help customers integrate and validate their lidar solutions efficiently. [Source]

Where can I find resources like case studies, white papers, and technical documents from AEye?

AEye provides a comprehensive resource library, including case studies, white papers, technical documentation, and industry references, all accessible on their resources page.

What feedback have customers given about the ease of use of AEye's products?

Customers benefit from AEye's ease of integration, comprehensive technical support, user education, and validation testing tools, which together ensure a smooth and efficient adoption process. [Source]

Where can I find industry references and insights about AEye's technology?

Industry references and insights, such as 'AEye: Developing Artificial Perception Technologies That Exceed Human Perception' and 'Unique iDAR Features That Drive SAE’s 5 Levels of Autonomy', are available on AEye's resources page. [Source]

What resources are available on AEye's library page?

AEye's library page offers solutions information, technology details, news, press releases, blog articles, case studies, investor relations, company info, career opportunities, expert profiles, videos, white papers, use cases, and industry references. [Source]

Where can I find news and updates about AEye?

News updates, press releases, and other announcements are available on AEye's news and press releases pages, accessible from their main website. [Source]

AEye to Report 2026 First Quarter Results on Wednesday, May 13 and Host Conference Call and Webcast Read more AEye Announces Strategic Commercial Relationship with SynTech to Expand Defense Applications of Apollo™ Lidar Internationally Read more AEye’s CEO Issues Letter to Stockholders Read more AEye to Report 2026 First Quarter Results on Wednesday, May 13 and Host Conference Call and Webcast Read more AEye Announces Strategic Commercial Relationship with SynTech to Expand Defense Applications of Apollo™ Lidar Internationally Read more AEye’s CEO Issues Letter to Stockholders Read more

AEye: Developing Artificial Perception Technologies That Exceed Human Perception

Nothing can take in more information and process it faster and more accurately than the human visual cortex…until now. Humans classify complex objects at speeds up to 27Hz, with the brain processing 580 megapixels of data in as little as 13 milliseconds. While conventional LiDAR sensors on autonomous vehicles average around a 10Hz frame rate and revisit rate, iDAR sensors can achieve a frame rate in excess of 100Hz (>3x human vision), and an object revisit rate of >500Hz.

So what?

A single interrogation point rarely delivers sufficient confidence – it is only suggestive. That’s why LiDAR systems must capture multiple detects of the same object to fully comprehend it, making the speed of subsequent interrogations/detects (the object revisit rate) significantly more critical to autonomous vehicle safety than frame rate alone. For conventional LiDAR sensors, the object revisit rate is the frame rate.

AEye’s iDAR not only has the ability to revisit an object within a single frame, it can revisit multiple points/objects of interest. The achievable object revisit rate of AEye’s iDAR system for objects of interest is microseconds to a few milliseconds – which can be up to 3000x faster, compared to conventional LiDAR systems that typically require hundreds of milliseconds between revisits.

Reducing the time between object detections within the same frame is critical, as shorter object revisit times keep processing times low for advanced algorithms that correlate multiple moving objects in a scene.

 

“iDAR takes the guesswork out of artificial perception and replaces it with actionable data.”  – Dr. Allan Steinhardt, AEye Chief Scientist

 

AV Sensor Frame Rates Compared 2019