TY - GEN
T1 - Markers for Automated Vehicles
T2 - 2025 IEEE International Automated Vehicle Validation Conference, IAVVC 2025
AU - Wu, Zirui
AU - Hu, Xianbiao
AU - Jarlow, Victor
AU - Kero, Timo
AU - Brennan, Sean
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Automated vehicles (AVs) heavily depend on sophisticated sensing technologies and advanced algorithms to accurately interpret their surroundings and make safe driving decisions. Despite significant advances in onboard sensors such as cameras, LiDAR, and radar, AV systems still encounter considerable challenges in complex real-world scenarios, including poor lighting, adverse weather conditions, occlusion, and densely populated urban environments. Consequently, external infrastructure solutions have emerged as vital components to enhance AV capabilities beyond onboard sensors alone. Markers, representing infrastructure-based technologies, offer distinct and stable reference points to assist vehicle perception, precise localization, accurate identification, and effective sensor calibration. This study systematically reviews three primary marker technologies: visual markers (e.g., QR codes, fiducial markers), magnetic markers embedded in road surfaces, and wireless tags (e.g., RFID, Bluetooth). For each marker type, we discuss operational principles, highlight key advantages, and analyze inherent limitations. Furthermore, we explore practical applications across various driving scenarios, from structured indoor facilities to challenging outdoor environments, while critically examining deployment challenges including infrastructure costs, environmental sensitivity, and signal interference. Finally, we outline several future research directions emphasizing multimodal marker integration, advanced sensor fusion techniques, and optimized deployment strategies, all aiming to further enhance the robustness and operational safety of automated vehicle systems.
AB - Automated vehicles (AVs) heavily depend on sophisticated sensing technologies and advanced algorithms to accurately interpret their surroundings and make safe driving decisions. Despite significant advances in onboard sensors such as cameras, LiDAR, and radar, AV systems still encounter considerable challenges in complex real-world scenarios, including poor lighting, adverse weather conditions, occlusion, and densely populated urban environments. Consequently, external infrastructure solutions have emerged as vital components to enhance AV capabilities beyond onboard sensors alone. Markers, representing infrastructure-based technologies, offer distinct and stable reference points to assist vehicle perception, precise localization, accurate identification, and effective sensor calibration. This study systematically reviews three primary marker technologies: visual markers (e.g., QR codes, fiducial markers), magnetic markers embedded in road surfaces, and wireless tags (e.g., RFID, Bluetooth). For each marker type, we discuss operational principles, highlight key advantages, and analyze inherent limitations. Furthermore, we explore practical applications across various driving scenarios, from structured indoor facilities to challenging outdoor environments, while critically examining deployment challenges including infrastructure costs, environmental sensitivity, and signal interference. Finally, we outline several future research directions emphasizing multimodal marker integration, advanced sensor fusion techniques, and optimized deployment strategies, all aiming to further enhance the robustness and operational safety of automated vehicle systems.
UR - https://www.scopus.com/pages/publications/105025159972
UR - https://www.scopus.com/pages/publications/105025159972#tab=citedBy
U2 - 10.1109/IAVVC61942.2025.11219540
DO - 10.1109/IAVVC61942.2025.11219540
M3 - Conference contribution
AN - SCOPUS:105025159972
T3 - IAVVC 2025 - IEEE International Automated Vehicle Validation Conference, Proceedings
BT - IAVVC 2025 - IEEE International Automated Vehicle Validation Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 30 September 2025 through 2 October 2025
ER -