Perception to Control: End-to-End Autonomous Driving Systems
- Title
 - Perception to Control: End-to-End Autonomous Driving Systems
 - Creator
 - Yoshita; Jatain A.; Manju; Kumar S.
 - Description
 - End-to-end autonomous driving systems have garnered a lot of attention in recent years, and researchers have been exploring different ways to make them work. In this paper, we provide an overview of the field with a focus on the two main types of systems: those that use only RGB images and those that use a combination of multiple modalities. We review the literature in each area, highlighting the strengths and limitations of each approach. We also discuss the challenges of integrating these systems into a complete end-to-end autonomous driving pipeline, including issues related to perception, decision-making, and control. Lastly, we identify areas where more research is needed to make autonomous driving systems work better and be safer. Overall, this paper provides a comprehensive look at the current state-of-the-art in end-to-end autonomous driving, with a focus on the technical challenges and opportunities for future research. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
 - Source
 - Lecture Notes in Networks and Systems, Vol-968 LNNS, pp. 447-454.
 - Date
 - 2024-01-01
 - Publisher
 - Springer Science and Business Media Deutschland GmbH
 - Subject
 - Autonomous driving; CNN; Deep learning; End-to-end systems
 - Coverage
 - Yoshita, Department of Computer Science and Engineering, Amity University, Haryana, Gurugram, India; Jatain A., Department of Computer Science and Technology, Manav Rachna University, Faridabad, India; Manju, Department of Computer Science and Engineering and Information Technology Jaypee Institute of Information Technology, Noida, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India
 - Rights
 - Restricted Access
 - Relation
 - ISSN: 23673370; ISBN: 978-981972078-1
 - Format
 - Online
 - Language
 - English
 - Type
 - Conference paper
 
Collection
Citation
Yoshita; Jatain A.; Manju; Kumar S., “Perception to Control: End-to-End Autonomous Driving Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed November 4, 2025, https://archives.christuniversity.in/items/show/19432.
            