Comply with the format set by the Ministry of the Interior, with extremely high precision at centimeter-level; the error range can be 20 cm on 2D maps and 30 cm on 3D maps.
Through automatic annotation to classify objects and combined with real-time AI algorithms, to enhance the speed and accuracy of object detection. Further, analyze and predict object movement trajectories to improve self-driving safety and decision-making efficiency in complex environments.
Integrating high-definition map and multiple sensors (Including LiDAR, radar, camera...) further increase the positioning accuracy and makes the decision-making process more stable, and solve information occlusion and interference conditions.
4G/5G C-V2X communication technology combined with self-driving vehicles, transmits roadside information to the self-driving system for calculation and decision-making, expand the scope of environmental perception, and achieves early response and safety protection.
Remotely conduct self-driving fleet management and monitoring, record vehicle parameters and status in real-time, improving fleet operation safety and efficiency.
The stable and safe automatic control system allows the self-driving car to make quick adjustments accurately, assist in lane-centering while turning or through bumpy roads.
(Wire Controlled/Sensor Module/Self-Driving System/Technical Support)
(Wire Controlled/Sensor Module/Self-Driving System/Technical Support)
(Wire Controlled/Sensor Module/Self-Driving System/Technical Support)
(Wire Controlled/Self-Driving System/Technical Support)
Software and hardware package
High stability and scalability
Centimeter-Level Accuracy
Precise positioning
Remote monitoring and controlling
Record vehicle parameters in real-time
Site planning
Feasibility assessment
Complies with Class 100 cleanroom standards and semiconductor AMC contamination control requirements. It operates flexibly in narrow spaces and supports 24-hour automated transportation, effectively reducing labor dependency and improving operational efficiency. It is suitable for smart factories, warehouses, and various enclosed environments.
Pioneering autonomous driving technology, we developed a Class cleanroom autonomous shuttle with fireproof, anti-static, and dustproof features. Designed to navigate factory sites with agility, it brings AI-powered intelligence to smart manufacturing.
Kingwaytek has launched the“Ciao Fun”autonomous sightseeing vehicle in the Fuxing Hot Spring area of Puli, Nantou. Over nine days, the service successfully operated 600 trips and welcomed more than 2,000 passengers, providing unique, enjoyable travel experience.
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Kingwaytek introduced the frst self-driving car for Taiwan Lantern Festival, offering test rides at Guiren 18th Road in Sha Lun Science City. During the 16 days of Lantern Festival period, it operated 400 trips, with over 1,000 passengers aboard.
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Kingwaytek utilizes V2V technology to create a Pre-ART autonomous shuttle service. This service combines self-driving technology with the advantages of light rail and metro systems. It allows for flexible vehicle organization based on demand, extending the use of rail transit.
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Taiwan's debut self-driving shuttle service integrated with a world-class exhibition, and successfully navigated mixed traffic near the high-speed rail station, setting a record with 8,500 passenger rides.
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To provide the self Driving solutions of shuttle transportation and cargo delivery in TSMC smart factory in Tainan Science Park.
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To provide the self Driving solutions of shuttle transportation for tourists.
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Apply self-driving street sweeper service to improve cleaning efficiency and reduce the occupational hazard of frontline personnel.
Connecting four tourism factories, and combining travel and tourism industry.
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Partnership with Chunghwa Telecom and the Tamsui Bus Company, this is the first self-driving public transportation service with C-V2X technology in Taiwan.
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Self-driving transit service for passengers to pick up their cars at the airport parking lot.
Provide a complete self-driving developing environment and equipment.
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