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Robust Environmental Perception and Reliability Control for Intelligent Vehicles

This book presents the most recent state-of-the-art algorithms on robust environmental perception and reliability control for intelligent vehicle systems. By integrating object detection, semantic segmentation, trajectory prediction, multi-object tracking, multi-sensor fusion, and reliability contro...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Pan, Huihui (Egilea), Wang, Jue (Egilea), Yu, Xinghu (Egilea), Sun, Weichao (Egilea), Gao, Huijun (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:1st ed. 2024.
Saila:Recent Advancements in Connected Autonomous Vehicle Technologies, 4
Gaiak:
Automotive engineering.
Control engineering.
Computational intelligence.
Automotive Engineering.
Control and Systems Theory.
Computational Intelligence.
Sarrera elektronikoa:https://doi.org/10.1007/978-981-99-7790-1
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • Chapter 1. Background
  • Chapter 2. Robust Environmental Perception of Multi-Sensor Data Fusion
  • Chapter 3. Robust Environmental Perception of Monocular 3D Object Detection
  • Chapter 4. Robust Environmental Perception of Semantic Segmentation
  • Chapter 5. Robust Environmental Perception of Trajectory Prediction
  • Chapter 6 Robust Environmental Perception of Multi-object Tracking
  • Chapter 7. Reliability Control of Intelligent Vehicles
  • References.

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