Procedia Computer Science, Journal Year: 2024, Volume and Issue: 251, P. 273 - 280
Published: Jan. 1, 2024
Language: Английский
Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 395 - 395
Published: Jan. 10, 2025
Since the field of autonomous vehicles is developing quickly, it becoming increasingly crucial for them to safely and effectively navigate their surroundings avoid collisions. The primary collision avoidance algorithms currently employed by self-driving cars are examined in this thorough survey. It looks into several methods, such as sensor-based methods precise obstacle identification, sophisticated path-planning that guarantee follow dependable safe paths, decision-making systems allow adaptable reactions a range driving situations. survey also emphasizes how Machine Learning can improve efficacy avoidance. Combined, these techniques necessary enhancing dependability safety systems, ultimately increasing public confidence game-changing technology.
Language: Английский
Citations
0
International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2025, Volume and Issue: 11(1), P. 2377 - 2385
Published: Feb. 10, 2025
This comprehensive article examines recent advancements in perception and localization technologies for autonomous vehicles, highlighting the transition from conventional GPS-IMU systems to sophisticated multi-modal approaches. analyzes integration of high-definition mapping with sensor fusion architectures, emphasizing their role achieving precise environmental awareness robust localization. explores how edge computing implementations have revolutionized real-time processing capabilities, enabling more responsive reliable navigation. It encompasses machine learning-driven systems, focusing on contribution object detection, trajecitwe demonstrates these technological convergences are advancing industry toward higher levels autonomy. Drawing developments implementations, this discusses remaining technical challenges potential solutions fully transportation systems. builds upon previous studies while providing new insights into practical implications integrated perception-localization vehicle deployment.
Language: Английский
Citations
0
International Journal of Scientific Research in Computer Science Engineering and Information Technology, Journal Year: 2025, Volume and Issue: 11(1), P. 2871 - 2880
Published: Feb. 18, 2025
This comprehensive article explores the transformative impact of edge AI computing on embedded systems, highlighting paradigm shift from cloud-dependent to on-device processing. The examines architectural foundations, performance benefits, security advantages, and implementation considerations systems. demonstrates how addresses critical challenges in latency, cost efficiency, data privacy, operational reliability across various applications, particularly autonomous encompasses detailed analyses hardware accelerators, memory architectures, power management strategies, frameworks, providing insights into both current capabilities future developments. By examining real-world deployments multiple sectors, illustrates technology is revolutionizing systems through improved processing reduced costs, enhanced measures, optimized resource utilization.
Language: Английский
Citations
0
SAE technical papers on CD-ROM/SAE technical paper series, Journal Year: 2025, Volume and Issue: 1
Published: April 1, 2025
<div class="section abstract"><div class="htmlview paragraph">Autonomous ground navigation has advanced significantly in urban and structured environments, supported by the availability of comprehensive datasets. However, navigating complex off-road terrains remains challenging due to limited datasets, diverse terrain types, adverse environmental conditions, sensor limitations affecting vehicle perception. This study presents a review integrating their applications with technologies traversability analysis methods. It identifies critical gaps, including class imbalances, performance under existing estimation approaches. Key contributions include novel classification datasets based on annotation methods, providing insights into scalability applicability across terrains. The also evaluates conditions proposes strategies for incorporating event-based hyperspectral cameras enhance perception systems. Additionally, we address lack unified evaluation metrics introducing qualifiers assessing perception, planning, control Finally, comparison geometry-based, learning-based, probabilistic methods navigability prediction highlights importance multi-sensor data integration improved decision-making. These actionable recommendations aim guide development adaptive robust autonomous systems, advancing real-world environments.</div></div>
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 3254 - 3254
Published: April 5, 2025
As the importance of safety, efficiency, and sustainability in urban transportation becomes more apparent, intelligent systems are changing growing. Smart intersections play a crucial role different parts this context. Technologies such as Vehicle-to-Everything (V2X) communication, artificial intelligence, multi-sensor data fusion, incorporated into these to improve capacity safety reduce damage environment. This literature review aims merge various recent works on advancing smart intersection technologies, their thematic application, methodological approach, regional implementations. Highlighting adaptive traffic signal control, real-time processing, connected autonomous vehicle (CAV) integrations sheds light way effectiveness cities can be improved. At same time, study tackles questions cybersecurity standardization. provides insights for researchers, policymakers, practitioners who aim systems’ sustainability, fairness, operability.
Language: Английский
Citations
0
Procedia Computer Science, Journal Year: 2024, Volume and Issue: 251, P. 273 - 280
Published: Jan. 1, 2024
Language: Английский
Citations
1