Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 17 Issue 1 January-June 2026 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 17 Issue 1
2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Mechanical Design and Reliability Engineering of Autonomous ADAS-Enabled Automotive Systems

Author(s) Saahil
Country India
Abstract This article frames Autonomous Vehicles and Advanced Driver Assistance Systems as high-reliability, safety-critical cyber-physical systems operating under open-world uncertainty and long-tail scenario distributions. It synthesizes sensor fusion across LiDAR, radar, and camera modalities through belief-state estimation, calibration integrity, and uncertainty propagation, emphasizing fault tolerance and graceful degradation as deployability primitives. The review then integrates AI-based perception, prediction, and planning as a coupled inferential-control continuum governed by risk envelopes, uncertainty budgets, and constraint satisfaction under deterministic latency and compute-thermal limits. Vehicle-to-Everything communication is analyzed as a cooperative situational awareness substrate, highlighting penetration-sensitive benefits, compute-communication co-design, and safety-security co-assurance under adversarial threat models. Safety validation is reframed as claim-argument-evidence engineering via structured safety cases, risk-weighted scenario coverage, runtime monitoring, and update governance, while ethical decision modeling is operationalized as auditable constraint encoding linked to accountability and human factors. The central proposition is that autonomy progress is contingent on cross-layer co-optimization of epistemic robustness, runtime determinism, cybersecurity resilience, and governance traceability, rather than isolated performance metrics.
Keywords Autonomous Vehicles, Advanced Driver Assistance Systems, Sensor Fusion, LiDAR, Radar, Deep Learning, Trajectory Prediction, Model Predictive Control, Vehicle-to-Everything Communication, Cybersecurity in Intelligent Transportation Systems.
Published In Volume 16, Issue 2, July-December 2025
Published On 2025-07-11
Cite This Mechanical Design and Reliability Engineering of Autonomous ADAS-Enabled Automotive Systems - Saahil - IJAIDR Volume 16, Issue 2, July-December 2025. DOI 10.71097/IJAIDR.v16.i2.1746
DOI https://doi.org/10.71097/IJAIDR.v16.i2.1746
Short DOI https://doi.org/hbrj2b
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJAIDR DOI prefix is
10.71097/IJAIDR

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 17 Isu 1Cover Page Vol 16 Isu 2Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJAIDR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijaidr.com