Smart Autonomous Collision Avoidance and Obstacle Detection Using Internet of Things (IoT) and Controller Area Network (CAN) Protocol

Biswal, Anil Kumar; Singh, Debabrata; Tripathy, Asis Kumar; Pattanayak, Binod Kumar

doi:10.1007/978-981-16-4807-6_6

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…When evaluating procedures, the traffic volume must be taken into account. Given the opacity of scenarios and the scarcity of environments with a substantial percentage of autonomous vehicles, effectively addressing unforeseen circumstances and enhancing safety becomes challenging [71,77].…”

mentioning

confidence: 99%

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Abbasi,

Rahmani

2023

Information

View full text Add to dashboard Cite

Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road safety and mobility. However, designing AVs involves various critical aspects, such as software and system requirements, that must be carefully addressed. This paper investigates safety-aware approaches for AVs, focusing on the software and system requirements aspect. It reviews the existing methods based on software and system design and analyzes them according to their algorithms, parameters, evaluation criteria, and challenges. This paper also examines the state-of-the-art artificial intelligence-based techniques for AVs, as AI has been a crucial element in advancing this technology. This paper reveals that 63% of the reviewed studies use various AI methods, with deep learning being the most prevalent (34%). The article also identifies the current gaps and future directions for AV safety research. This paper can be a valuable reference for researchers and practitioners on AV safety.

show abstract

mentioning

confidence: 99%

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Abbasi,

Rahmani

2023

Information

View full text Add to dashboard Cite

show abstract

“…g) Water sensor (Robodo REL_35): To see the presence of water and sound an alarm to inform the visually impaired, water detectors are electrical devices that detect the presence of water, that depcits in Figure 9. Liquid leaks, precipitation, water levels, and other types of water can all be monitored [43]. A leak, spill, flood, or rain may be detected by an Arduinoconnected water sensor.…”

mentioning

confidence: 99%

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

Malla¹,

Sahu²,

Patnaik³

et al. 2023

RIA

View full text Add to dashboard Cite

As technological advancements permeate various aspects of life, they offer renewed hope for individuals grappling with disabilities. This paper focuses on the visually impaired population, who face considerable challenges in mobility due to physiological or neurological conditions causing blindness. Despite a reliance on external aid, a growing preference for self-sufficiency is observed among these individuals. In response to this, a pioneering tool, the Smart Blind Stick (SBS), is proposed to alleviate their mobility-related difficulties. The SBS is an advanced adaptive tool, designed to address daily navigation challenges faced by visually impaired individuals. The device operates by identifying obstacles and accurately calculating their distances using an integrated system of an Arduino UNO controller, Viola Jones algorithm, ultrasonic and water sensors. The SBS is equipped with a camera and advanced ultrasonic sensors, along with enhanced coding systems, enabling users to detect objects and navigate through challenging terrains. The SBS distinguishes itself from conventional aids by serving as an autonomous navigation companion, alerting the user of potential hazards such as water bodies, walls, staircases, or uneven surfaces via a headset connected to their phone. This paper elaborates on the development, functionality, and anticipated impact of the SBS in fostering greater autonomy among visually impaired individuals.

show abstract

Autonomous Vehicles and Intelligent Transportation Systems—A Framework of Intelligent Vehicles

Tyagi

Sreenath

2022

Disruptive Technologies and Digital Transformations for Society 5.0

View full text Add to dashboard Cite

Smart Autonomous Collision Avoidance and Obstacle Detection Using Internet of Things (IoT) and Controller Area Network (CAN) Protocol

Cited by 6 publications

References 15 publications

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Obstacle Detection and Assistance for Visually Impaired Individuals Using an IoT-Enabled Smart Blind Stick

Autonomous Vehicles and Intelligent Transportation Systems—A Framework of Intelligent Vehicles

Contact Info

Product

Resources

About