Object Detection, Recognition, and Tracking Algorithms for ADASs—A Study on Recent Trends
V Malligere Shivanna, JI Guo - Sensors, 2023 - mdpi.com
Advanced driver assistance systems (ADASs) are becoming increasingly common in
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …
modern-day vehicles, as they not only improve safety and reduce accidents but also aid in …
A systematic literature review of driver behaviour in blind spot: Assessing risk and influencing factors for enhanced ergonomics in vehicle design
A Barat, S Das - Ergonomics, 2024 - Taylor & Francis
Risk associated with vehicle blind spot is a critical concern for road traffic safety that poses a
serious threat to drivers as well as vulnerable road users. While driving on the road, it is …
serious threat to drivers as well as vulnerable road users. While driving on the road, it is …
[HTML][HTML] Deep Learning-Based Stopped Vehicle Detection Method Utilizing In-Vehicle Dashcams
J Park, J Lee, Y Park, Y Lim - Electronics, 2024 - mdpi.com
In complex urban road conditions, stationary or illegally parked vehicles present a
considerable risk to the overall traffic system. In safety-critical applications like autonomous …
considerable risk to the overall traffic system. In safety-critical applications like autonomous …
Advanced Driving Assistance System for Cars Using Raspberry Pi
R AC - Indian Journal of Science and Technology, 2022 - papers.ssrn.com
Objectives: Hardware implementation of advanced driving assistance system which can be
able to identify i). Lane detection and assist system. ii). Blind spot detection and warning …
able to identify i). Lane detection and assist system. ii). Blind spot detection and warning …
Simulation of Predicting the Safety Level of Objects in the Blind Spot Area of a Forklift Unit Using Fuzzy and Artificial Neural Networks
Forklifts are widely used in industrial and construction sectors for material handling, yet they
pose significant safety risks due to blind spots, particularly at the rear of the vehicle. These …
pose significant safety risks due to blind spots, particularly at the rear of the vehicle. These …
An Integrated Deep Learning-based Lane Departure Warning and Blind Spot Detection System: A Case Study for the Kayoola Buses
Deep learning-based driver assistance systems (ADAS) have attracted interest from
researchers due to their impact on improving vehicle safety and reducing road traffic …
researchers due to their impact on improving vehicle safety and reducing road traffic …
Accident Detection System Using Video Data
R Vanukuri, R Anagula, G Poladasari… - … Conference on Pervasive …, 2023 - Springer
In this research, we suggested an accident detection system that enables the camera while
driving and detects accidents and alerts the nearest area emergency contacts. The accident …
driving and detects accidents and alerts the nearest area emergency contacts. The accident …
[PDF][PDF] A Novel Driver Warning System with Hedging to Promote Defensive Driving
One of the major contributing factors to truck-related crashes is the presence of natural blind
spots, also known as the" No Zone." While current Blind Spot Warning (BSW) systems can …
spots, also known as the" No Zone." While current Blind Spot Warning (BSW) systems can …
[PDF][PDF] Advanced Driving Assistance System for Cars Using Raspberry Pi
D FDQ, DWRUWKH DFFLGH - 2023 - easychair.org
Objectives:+ DUGZDUH LPSOHPHQWDWLRQ RI DGYDQFHG GULYLQJ D ZKLFK FDQ
EH DEOH WR LGHQWLI\L/DQH GHWHFWLRQ DQG VSRW GHWHFWLRQ DQG …
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[PDF][PDF] ZVÝŠENÍ BEZPEČNOSTI V AUTOMOBILE: PŘEHLED NOVÝCH A STÁVAJÍCÍCH SENZOROVÝCH TECHNOLOGIÍ
J Tengler, M Majerčáková, P Malacký - POŠTA, TELEKOMUNIKÁCIE - pteo.uniza.sk
The main aim of this article is to give readers a comprehensive overview of the safety
features that are an important part of modern cars. We will look at their functions, benefits …
features that are an important part of modern cars. We will look at their functions, benefits …