Abstract
Embedded systems are central to the advancement of autonomous vehicles (AVs), enabling real-time navigation, environmental perception, and decision-making. This article explores the design and optimization of embedded systems for autonomous vehicle navigation and control, focusing on hardware-software co-design, sensor fusion, and algorithmic efficiency. Emphasis is placed on real-time data processing, reliability, and energy efficiency to meet the constraints of autonomous operation. The article also evaluates control systems, such as path planning and adaptive cruise control, integrated into embedded architectures. Case studies and performance benchmarks highlight the effectiveness of embedded solutions in achieving autonomy.
All articles published in the American Journal of Embedded Systems and VLSI Design (AJESVD) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows:
-
Sharing – copying and redistributing the material in any medium or format
-
Adaptation – remixing, transforming, and building upon the material for any purpose, even commercially
Under the following terms:
-
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner but not in any way that suggests the licensor endorses you or your use.
By submitting a manuscript to AJESVD, authors agree to make their work freely available under the terms of the CC BY 4.0 license and affirm that their submission is original and does not infringe on any third-party rights.