ในฐานะบริษัทที่มุ่งผลักดันเทคโนโลยี AI และระบบอัตโนมัติสู่การใช้งานจริงในประเทศไทย Super-X AI ไม่ได้เป็นเพียงผู้สังเกตการณ์ แต่มีส่วนร่วมโดยตรงตั้งแต่ขั้นตอนการนำเข้าเทคโนโลยี การติดตั้งระบบ ไปจนถึงการสนับสนุนการทดสอบภาคสนามครั้งนี้
泰国自动驾驶物流(Autonomous Logistics)的未来,正由坚实的跨界合作共同推动——Super-X AI 已做好准备,将持续赋能并引领每一步重大跨越。
Super-X AI
Empowering Thailand’s Autonomous Future
Super-X AI Powers the Shift! Thailand Successfully Expands Level 4 CAV Testing from Controlled Tracks to Real Roads in WHA Industrial Estate
Rayong, October 2, 2026 — A major milestone for Thailand’s Autonomous Mobility sector! The Office of National Higher Education Science Research and Innovation Policy Council (NXPO), in collaboration with the Department of Science Service (DSS) under the Ministry of Higher Education, Science, Research and Innovation (MHESI), made a field visit to observe the testing of Level 4 Connected and Autonomous Vehicles (CAV) at the WHA Eastern Seaboard Industrial Estate (ESIE) in Rayong Province.
This test marks a key expansion from the controlled environment of the T-CAVs testbed at Wangchan Valley to real-world routes within an active industrial estate featuring heavy mixed traffic, including passenger cars, motorcycles, and commercial trucks.
The vehicle tested was the ZelosTech Z10, a Level 4 autonomous logistics system. Super-X AI played a vital role in this milestone by facilitating technology importation, managing cross-party coordination, and overseeing system deployment to ensure operational readiness tailored to Thailand's unique context.
From Controlled Proving Grounds to Real Traffic
Covering over 8,000 rai (approx. 1,280 hectares) with a daily traffic volume of around 80,000 vehicles, WHA ESIE represents one of the most challenging and realistic operational environments in Thailand for autonomous driving trials.
The field testing took place between September 22 and October 2, 2026. Prior to execution, the engineering team constructed High-Definition Maps (HD Maps) using 3D LiDAR, surround-view cameras, GNSS, and IMU sensors to provide accurate environmental perception. The Operational Design Domain (ODD) was also specifically calibrated to match Thai road infrastructure and driving behaviors.
The trial referenced international benchmarks, including ADAS EURO NCAP and ISO 22737:2021, assessing three core performance metrics: Perception, Decision-making, and Vehicle Control across diverse operational scenarios—including heavy traffic, nighttime driving, and heavy rain.
Satisfactory Initial Results with Clear Areas for Optimization
The system met all primary operational objectives, demonstrating robust responses to traffic signals, speed humps, and automatic deceleration upon detecting heavy rain. No accidents occurred throughout the trial, with trained safety personnel closely monitoring operations at all times.
Nevertheless, key areas were identified for ongoing optimization—particularly adapting autonomous algorithms originally calibrated for right-hand drive (RHD) traffic systems to Thailand’s left-hand traffic rules, as well as refining edge-case responses. The development team has since implemented updates that significantly enhanced overall system stability.
Super-X AI: Driving Impact Beyond Support
As a company dedicated to pushing AI and autonomous technology into practical, real-world execution in Thailand, Super-X AI served far beyond a passive observer. The team actively participated in every step—from technology import and system installation to hands-on field test support.
Collaborating alongside public sector authorities such as NXPO and DSS, as well as key industry partners ZelosTech and WHA Group, represents another vital step showcasing Thailand’s readiness to build an autonomous vehicle ecosystem grounded in authentic local data.
From controlled test tracks to active industrial estate roads.
From imported innovation to practical deployment on Thai highways.
The future of Autonomous Logistics in Thailand is being actively shaped by strong partnerships—and Super-X AIremains committed to powering every major step forward.
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