Key Indicators to Assess the Performance of LiDAR-Based Perception Algorithms: A Literature Review

Key Indicators to Assess the Performance of LiDAR-Based Perception Algorithms: A Literature Review

Perception algorithms are essential for autonomous or semi-autonomous vehicles to perceive the semantics of their surroundings, including object detection, panoptic segmentation, and tracking. Decision-making in case of safety-critical situations, like autonomous emergency braking and collision avoi...

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Bibliographic Details
Main Authors: Chiranjeevi Karri, Jose Machado da Silva, Miguel Velhote Correia
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Perception algorithms
metrics
deep learning
object detection
panoptic segmentation
autonomous driving
Online Access:https://ieeexplore.ieee.org/document/10271280/

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