About the Client

The client is a global leader in LiDAR sensor technology, serving Tier-1 automotive manufacturers and autonomous vehicle platform developers. Known for its innovation in 3D spatial sensing, the client aims to create safe, high-performance autonomous systems for urban mobility by integrating cutting-edge sensor technology.

The Client Challenge

With the rise of autonomous vehicles (AVs), navigating densely populated urban environments remains one of the most complex challenges in the industry. The client faced increasing demand from OEMs and AV platform developers to deliver real-time, high-accuracy object tracking systems that could reliably operate under varying road conditions, weather scenarios, and unpredictable human behavior.

Traditional camera- and radar-based perception systems struggled to:

• Detect and classify small or partially occluded objects.
• Function accurately in low light or poor weather conditions.
• Provide consistent, 360-degree spatial awareness for fast-moving, high-density traffic scenarios.
  
  

This limited the vehicles’ ability to make real-time driving decisions confidently. The client needed a robust, real-time, scalable object tracking system leveraging their proprietary LiDAR technology capable of enhancing the perception stack for higher levels of vehicle autonomy.

Spanidea Solution

Spanidea partnered with the client to design, develop, and integrate a LiDAR-based Object Tracking Solution tailored for urban autonomous mobility. The solution encompassed hardware integration, algorithm development, perception fusion, and system validation across various driving scenarios.

High-Resolution LiDAR Integration

Spanidea’s hardware engineering team collaborated with the client to configure and position high-resolution LiDAR units offering 360-degree visibility. The sensors were optimized for urban environments capable of identifying and tracking static and dynamic objects like pedestrians, cyclists, and vehicles with centimeter-level precision.

Real-Time 3D Data Processing Engine

We developed a proprietary object tracking pipeline that converted the raw 3D point cloud into actionable intelligence. This included:

• Ground segmentation and object clustering.
• Kalman Filter and deep learning-based tracking models.
• Real-time classification of object types (vehicle, pedestrian, obstacle).
• Prediction of object trajectories for 5–10 seconds into the future.

Sensor Fusion for Enhanced Perception

To ensure consistent environmental awareness, Spanidea integrated the LiDAR data with the vehicle’s existing camera and radar systems using a multi-sensor fusion approach. This allowed:

• Greater reliability in adverse lighting/weather conditions.
• Redundant object detection for safety-critical decisions.
• Enhanced spatial and semantic perception of the environment.

Collision Avoidance & Decision Making Algorithms

Leveraging Spanidea’s proprietary decision stack, the LiDAR system fed real-time object data into motion planning and control modules, supporting:

• Proactive collision avoidance maneuvers.
• Lane-change and path-planning decisions.
• Emergency braking in unpredictable scenarios.

Cloud-Based Telemetry & Continuous Learning

All LiDAR data and system decisions were logged and pushed to the cloud for further analysis. This enabled:

• Continuous retraining of object detection models.
• Real-world scenario analysis for algorithm fine-tuning.
• OTA (Over-the-Air) updates to perception modules.

Validation and Field Testing

Spanidea supported extensive real-world testing across multiple urban testbeds—simulating peak traffic hours, construction zones, and mixed traffic conditions. A robust test automation framework was created to verify:

• Frame-to-frame object tracking consistency.
• Classification accuracy above 95%.
• Sub-10ms end-to-end system latency.

Business Benefits

The deployment of Spanidea’s object tracking system powered by LiDAR led to transformative results:

Enhanced Safety by 60%

Precision object tracking, even in dense traffic and unpredictable scenarios, reduced the rate of missed detections and near-miss incidents—directly improving the AV safety index by 60%.

Scalable & Modular Architecture

The modular design enabled easy integration with various vehicle platforms and adaptability to new sensor configurations, reducing time-to-market for future AV rollouts.

Robust Perception in All Conditions

LiDAR’s performance remained consistent across low-light, foggy, and rainy environments, outperforming conventional camera and radar systems.

Improved Decision Accuracy by 45%

Multi-sensor fusion and predictive object modeling allowed the vehicle to make more confident and timely driving decisions, critical for SAE Level 4+ autonomy.

Real-Time Performance with Sub-10ms Latency

Optimized processing algorithms enabled real-time object tracking and response mechanisms, a vital requirement for high-speed decision-making.

Global OEM Interest & Commercialization

Following successful field validation, the client reported increased interest from OEM partners and AV developers to integrate this solution across multiple platforms.

About Spanidea

Spanidea Systems is a global product engineering and technology solutions company focused on building innovative solutions in Automotive, AI/ML, Embedded Systems, and IoT domains. With a deep commitment to quality, innovation, and customer success, Spanidea delivers mission-critical systems for leading global brands. From hardware design to software integration and system validation, Spanidea empowers businesses to drive the future of mobility and automation.