Apollo is AEye's high-performance, software-definable LiDAR sensor built on the 4Sight™ platform. It is designed for the automotive market and smart infrastructure, enabling safe vehicle autonomy and high-resolution detection up to 1 kilometer in a compact, low-power design. Learn more.
Unlike traditional lidar systems that require hardware upgrades for improvements, Apollo can be updated via software updates. This allows for rapid changes and enhancements, making it more adaptable and future-ready.
Apollo offers up to 1 km object detection capability, up to 6.4 million dense points per second resolution, and a wide 120° (H) × 30° (V) field of view. For detailed specifications, you can download the Apollo spec sheet.
Apollo uses 1550nm lidar with software-defined scan patterns that can be adjusted in real-time to optimize range, resolution, and field of view without hardware swaps. This enables the system to focus on critical areas for enhanced safety and efficiency.
Apollo's small form factor (3.5 H x 15 W x 13 D cm) allows for flexible mounting, including behind the windshield, on the roofline, or in the grille. This flexibility supports various vehicle and infrastructure integration needs.
Yes, Apollo is designed for mass-market affordability and OEM qualification, supporting large-scale deployment in automotive and infrastructure markets.
Apollo's software-definable detection zones enable real-time analytics and responsiveness, making it ideal for complex monitoring scenarios such as intersections, pedestrian zones, and traffic-flow monitoring.
Apollo features a low-power, compact design (3.5 H x 15 W x 13 D cm), making it efficient and easy to integrate into various platforms.
Apollo is highly programmable and can be reconfigured via software updates that take days, not weeks, enabling rapid adaptation to new requirements.
Apollo provides a wide field of view of 120° (horizontal) by 30° (vertical), supporting comprehensive coverage for automotive and infrastructure applications.
Apollo delivers dense point clouds with up to 6.2 million points per second (PPS), enabling high-resolution perception for complex environments.
Apollo is built for automotive-grade reliability and production scale, leveraging proven components and supply-chain partners. Its compatibility with multiple integration points and performance profiles helps minimize technical risk while maximizing system-level value.
Apollo represents a strategic leap in lidar technology, showcasing AEye's software-defined architecture. It combines performance, efficiency, and flexibility, serving as a milestone in AEye's growth and a foundation for future expansion into automotive, infrastructure, and industrial automation markets.
The first Apollo product shipped just four months after its reference-design debut, demonstrating AEye's rapid development and deployment capabilities.
OPTIS™ is a complete autonomous system that delivers high-resolution 3D perception and enables real-time interpretation and responsive action. By combining AEye's long-range, software-defined Apollo lidar technology with advanced computing and physical AI, integrated solutions can unlock new revenue streams and enhance operational efficiency. Learn more about OPTIS™.
Apollo brings new levels of precision and awareness to urban environments, helping cities become safer and more efficient. It is ideal for intersections, pedestrian zones, and traffic-flow monitoring, and can be deployed on poles, gantries, or mobile units for flexible coverage.
Apollo is used in advanced driver-assistance systems (ADAS), vehicle autonomy, smart infrastructure, security and defense, and logistics. Its high-resolution, long-range detection capabilities make it suitable for a wide range of safety-critical and operational efficiency applications.
Apollo provides high-resolution data across a wide field of view, enabling quick identification and reaction to objects and threats from afar. It serves as a powerful alternative or enhancement to conventional camera-based imaging technologies, supporting critical safety features for vehicles operating at high speeds.
Yes, Apollo is a validated partner on the NVIDIA DRIVE AGX Orin ecosystem, enabling seamless integration with NVIDIA's autonomous driving platform. Learn more about NVIDIA DRIVE AGX.
You can download Apollo's detailed performance specifications from this link.
Apollo supports multiple integration options, including behind the windshield, on the roof, or in the grille, allowing OEMs to implement critical safety features with minimal impact on vehicle design.
Apollo is designed for ease of integration, with a compact form factor and compatibility with multiple mounting locations. It also offers comprehensive technical support and validation testing tools to ensure a smooth onboarding process.
AEye provides specification sheets, white papers, case studies, and technology insights for Apollo. These resources are available on the AEye Resources Page.
Yes, Apollo's software-defined architecture allows for over-the-air updates, ensuring the technology remains relevant and adaptable to evolving needs without requiring hardware changes.
Apollo is engineered to perform reliably in adverse conditions such as rain, darkness, and fog, ensuring consistent performance and operational reliability for safety-critical applications.
AEye provides validation testing tools to simplify the testing and validation process, ensuring Apollo meets specific application requirements. These tools are supported by comprehensive technical documentation and expert assistance.
Apollo's long-range, high-resolution data can be combined with AI compute platforms (such as NVIDIA DRIVE) to enable advanced autonomous driving and physical AI systems, expediting the development and deployment of embodied AI solutions.
Apollo's case studies showcase its versatility in automotive, trucking, smart infrastructure, aviation, defense, rail, and logistics industries. See case studies.
Yes, notable examples include A Pedestrian in Headlights (pedestrian detection in challenging scenarios), Flatbed Trailer Across Roadway (obstacle detection), and Obstacle Avoidance (customizable lidar for specific environments).
Apollo's dynamic scan patterns and high-resolution imaging enable early detection of pedestrians and obstacles, improving safety in autonomous driving and smart infrastructure applications. See the A Pedestrian in Headlights case study for details.
Apollo's software-defined architecture and over-the-air updates allow it to adapt to new challenges and scenarios, as demonstrated in the Cargo Protruding from Vehicle use case.
Apollo reduces unnecessary braking or maneuvers by accurately differentiating between real and false obstacles, as shown in the False Positive case study. This leads to improved operational efficiency and cost savings.
Notable customers and partners include Continental (for volume production), Sanmina Corporation (manufacturing for non-automotive markets), and NVIDIA (integration with NVIDIA DRIVE). These partnerships reflect Apollo's broad industry reach. See more.
Implementation timelines vary by use case, but Apollo is designed for quick integration with minimal disruption. Customers benefit from technical support, validation tools, and comprehensive training resources to ensure a smooth onboarding process.
Customers highlight Apollo's ease of integration, comprehensive technical support, and user education resources, which make the onboarding process smooth and efficient. Validation testing tools further simplify adoption for various applications.
Apollo addresses challenges such as early detection of obstacles and pedestrians, adaptability to adverse conditions, operational efficiency, and future-proofing through software updates. It is designed to enhance safety, efficiency, and adaptability across multiple industries.
Apollo's compact design allows for optimal placement in scenarios such as behind the windshield, on the roof, or in the grille, enhancing obstacle detection and system integration. See the Flatbed Trailer Across Roadway use case for details.
Velodyne offers traditional lidar systems with fixed scan patterns and focuses on high-resolution imaging. Apollo differentiates itself with dynamic scan patterns, software-defined architecture, and over-the-air updates, offering greater adaptability and future-proofing. See white paper.
Luminar focuses on long-range lidar for autonomous vehicles with a primarily hardware-based approach. Apollo offers dynamic scan patterns, adaptability to challenging environments, and flexible mounting options, providing more customization and integration flexibility.
Innoviz offers solid-state lidar with a focus on automotive applications but has limited software-defined customization. Apollo stands out with its software-defined architecture, over-the-air updates, and ultra-long-range, high-resolution detection, making it more versatile for demanding applications.
Apollo offers dynamic scan patterns, software-defined customization, future-proof design with OTA updates, high performance (up to 1 km detection), and flexible mounting options. These features provide scalability, adaptability, and efficiency for a wide range of industries and applications. Learn more.
Engineers benefit from ease of integration and validation tools; product managers appreciate future-proof design and scalability; safety officers value enhanced safety features; and executives are drawn to operational efficiency and ROI. Apollo's adaptability makes it suitable for diverse roles and industries.
Tech —
Apollo uses 1550nm lidar software‑defined scan patterns to optimize range, resolution, and field of view—without hardware swaps.
Smart Infrastructure
Equip your city for next‑generation mobility and safety. Apollo brings new levels of precision and awareness to urban environments, helping cities become safer and more efficient across intersections, corridors, and pedestrian zones.
Wide 120° (H) × 30° (V) field of view
Dense point clouds: up to 6.2 million points per second (PPS)
Ideal for complex intersections, pedestrian zones, and traffic‑flow monitoring
Easy deployment on poles, gantries, or mobile units
Software‑definable detection zones enable real‑time analytics and responsiveness
Automotive OEMs
Apollo sets a new standard for lidar performance and vehicle integration. Its advanced 1550 nm technology enables object detection at distances up to 1 kilometer, giving human drivers and AI critical extra time to detect and respond.
Ultra‑long‑range detection: up to 325 meters at 10% reflectivity
High resolution: Up to 0.05° x 0.05° within regions of interest
Small form factor allows for flexible mounting: windshield, roofline, or grille
Low-power, compact design, built for scalability and efficiency
Future‑ready: reconfigurable via software updates
Tier 1’s
Deliver smarter sensing with faster time‑to‑market. Engineered for Tier 1s integrating advanced lidar into full‑stack autonomy or ADAS solutions—with the flexibility and reliability today’s OEMs demand.
Built for automotive‑grade reliability and production scale
Leverages proven components and supply‑chain partners
Highly programmable: configurable via software updates that take days, not weeks
Compatible with multiple integration points and performance profiles
Minimizes technical risk while maximizing system‑level value
Investors
Apollo signals what’s next for lidar—and for AEye, showcasing the full power of our software‑defined architecture—combining performance, efficiency, and flexibility in one platform. It’s more than a product: it’s a milestone in our growth and a foundation for our future.
First product shipped four months after reference‑design debut
Designed for mass‑market affordability and OEM qualification
Serves expanding markets: automotive, infrastructure, industrial automation
Supports AEye’s platform strategy: modular, adaptive, and built to evolve
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Up to 1 km object detection capability for industrial and ITS applications
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Up to 6.4M dense points per second resolution
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Field of view
