Details

Autor(en) / Beteiligte

• Sharma, Sachin
• Ekti, Ali Riza
• Rojas, Johan F.
• Brown, Nicolas E.
• Pesin, David
• Wang, Chieh Ross
• Huff, Shean
• LaClair, Tim J.
• Asher, Zachary D.
• Meyer, Richard T.

Titel

Development and Evaluation of Chip-Enabled Raised Pavement Markers for Lane Line Detection

Ist Teil von

• 2022 IEEE Sensors, 2022, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2022

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Increased energy consumption from autonomous vehicle (AV) sensors and computational load as well as upfront costs of sensors are barriers to broad AV adoption. For high quality and reliable perception of the driving environment, incoming data from multiple sensors need to be fused together using advanced computational algorithms, which requires a high compute load. As an alternative, infrastructure-based sensors can be designed to facilitate perception and sensing by supporting vehicle-to-infrastructure (V2I) information exchange. This work presents the initial development and evaluation of a novel energy efficient infrastructure-based sensor. The sensor, a chip-enabled raised pavement marker (CERPM), is capable of wireless communications to exchange environment information with AVs. As a test case, the developed CERPM is applied in real-world driving to perform lane line and drivable region detection for an AV. It is shown that CERPMs can be utilized to effectively detect the lane line and drivable region, which can improve perception while reducing the compute load.