Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving

Evaluation of Cluster Algorithms for Radar-Based Object Recognition in Autonomous and Assisted Driving

Perception systems for assisted driving and autonomy enable the identification and classification of objects through a concentration of sensors installed in vehicles, including Radio Detection and Ranging (RADAR), camera, Light Detection and Ranging (LIDAR), ultrasound, and HD maps. These sensors en...

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Bibliographic Details
Main Authors: Daniel Carvalho de Ramos, Lucas Reksua Ferreira, Max Mauro Dias Santos, Evandro Leonardo Silva Teixeira, Leopoldo Rideki Yoshioka, João Francisco Justo, Asad Waqar Malik
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
perception systems
driving assistance
autonomous vehicles
object identification
cluster algorithms
radar sensor
Online Access:https://www.mdpi.com/1424-8220/24/22/7219
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