{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Sensor Fusion — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"<div style=\"font-family:sans-serif;border:1px solid #e0e0e0;border-radius:8px;padding:16px;max-width:600px;background:#ffffff;color:#111111;\"><p style=\"margin:0 0 4px;font-size:11px;color:#666;\">AI Glossary — gaks.ai</p><h3 style=\"margin:0 0 8px;font-size:16px;\">Sensor Fusion</h3><p style=\"margin:0 0 12px;font-size:14px;line-height:1.6;\">The process of combining data from multiple sensors, such as cameras, lidar, radar, GPS, and inertial measurement units, to produce a more accurate and complete picture of the environment than any single sensor could provide on its own. Each sensor type has characteristic blind spots and failure modes, and fusion exploits their complementary strengths. It is a foundational technique in autonomous vehicles and robotics, where reliable situational awareness depends on it.</p><a href=\"https://gaks.ai/glossary/sensor-fusion\" style=\"font-size:12px;color:#0077aa;\">Source: gaks.ai/glossary/sensor-fusion →</a></div>"}