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Adjacent Vehicle Collision Warning System using Image Sensor and Inertial Measurement Unit

Asif Iqbal, Carlos Busso, Nicholas R. Gans
2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction - ICMI '15  
Ø A driver alert system to prevent and mi1gate adjacent vehicle collisions by proving warning informa1on of onroad vehicles and possible collisions.  ...  Ø These waring to the driver can reduce the high number accidents and deaths on road. Ø Fusion of modali1es may outperform single modality sensors Motivation:  ...  Ø Vision -A histogram of oriented gradient (HOG) feature based classifier is used to detect any adjacent vehicles and their loca1on corresponding to the ego-vehicle. • Vehicles both side and rear-end images  ... 
doi:10.1145/2818346.2820741 dblp:conf/icmi/IqbalBG15 fatcat:ujs3mp7rbjdbxatmoaf5nhsrum

Technical Feasibility of Advanced Driver Assistance Systems (ADAS) for Road Traffic Safety

Meng Lu, Kees Wevers, Rob Van Der Heijden
2005 Transportation planning and technology (Print)  
measures.  ...  These functions -enhanced navigation, speed assistance, collision avoidance, intersection support and lane keeping -were selected from previous research as adequate substitutes for infrastructure related  ...  Systems based on v2v communication and vehicle positioning seem conceptually to be the most promising, although they do not take into account VRUs.  ... 
doi:10.1080/03081060500120282 fatcat:dtvftqnwy5bofltikz5q6ipm6u

Implementation of Image Transmission Based on Vehicle-to-Vehicle Communication

Chang Hao Piao, Xiaoyue Ding, Jia He, Soohyun Jang, Mingjie Liu
2022 Journal of Information Processing Systems  
The OBU broadcasts the fragmented image information including location and clock of the vehicle to other OBUs.  ...  The encoded road emergency images which are collected by the ICV are transmitted to the on-board unit (OBU) through Ethernet.  ...  Acknowledgement This paper is supported by the Office of Science and Technology of Chongqing (No. cstc2019jscx-mbdxX0052, Development and application of L4 level autonomous driving).  ... 
doi:10.3745/jips.03.0176 dblp:journals/jips/PiaoDHJL22 fatcat:v5e2qqe2wbb5hcqs7rlpuhilue

Forwarding Collision Assessment with the Localization Information Using the Machine Learning Method

Lei Guo, Yizhen Jia, Xianghui Hu, Feihong Dong, Qizhou Hu
2022 Journal of Advanced Transportation  
The study aims to design a forward-collision warning method for ADAS in the urban freeway scenario. The testing vehicle is equipped with sensors and a satellite navigation system.  ...  The advanced driver-assistance system (ADAS) often underestimates or omits the necessary collision warning.  ...  Acknowledgments is work was supported by the scientific research of the System Engineering Institute, Academy of Military Sciences, and the National Science Foundation (Grant no. 51878088).  ... 
doi:10.1155/2022/9530793 fatcat:fhlbol4s2fh3xjhpqxqckmb3qm

Traffic jam driving with NMV avoidance

Vicente Milanés, Luciano Alonso, Jorge Villagrá, Jorge Godoy, Teresa de Pedro, Juan P. Oria
2012 Mechanical systems and signal processing  
The vehicle is equipped with a differential global positioning system (DGPS) located close to the rear-end of the car, and an inertial measurement unit (IMU) located as close as possible to the centre  ...  To this end, a prototype vehicle equipped with a DGPS combined with an Inertial Measurement Unit (IMU) to obtain the vehicle's positioning with high accuracy has been instrumented with automatic driving  ...  These systems are able to detect imminent collisions, warning the driver and preparing both vehicle and passengers for crash [5] .  ... 
doi:10.1016/j.ymssp.2012.04.008 fatcat:hchpghakgfbxrjegdc2e7w72wy

Vehicle Telematics Via Exteroceptive Sensors: A Survey [article]

Fernando Molano Ortiz, Matteo Sammarco, Luís Henrique M. K. Costa, Marcin Detyniecki
2020 arXiv   pre-print
We conclude showing open challenges using exteroceptive sensors both for industry and research.  ...  Then, we review in detail all exteroceptive sensors of some interest for vehicle telematics, highlighting advantages, drawbacks, and availability in off-the-shelf devices.  ...  ACKNOWLEDGMENT This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior -Brasil (CAPES) -Finance Code 001, CNPq, FAPERJ, and FAPESP Grant 15/24494-8.  ... 
arXiv:2008.12632v1 fatcat:lwzwvdldnbbmhlkwsjzipowfly

On the Integration of Enabling Wireless Technologies and Sensor Fusion for Next-Generation Connected and Autonomous Vehicles

Faran Awais Butt, Jawwad Nasar Chattha, Jameel Ahmad, Muhammad Umer Zia, Muhammad Rizwan, Ijaz Haider Naqvi
2022 IEEE Access  
The article reviews data acquisition using various sensing devices such as RADAR (Radio Detection and Ranging), LiDAR (Light Detection and Ranging), cameras, and multi-modal sensor fusion of the acquired  ...  The automotive industry is transitioning towards intelligent, connected, and autonomous vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety.  ...  CAVs also have inertial measurement unit (IMU) sensors capable of measuring the car's velocity.  ... 
doi:10.1109/access.2022.3145972 fatcat:lafduphuona2neb3vkbn2y67gu

Cars Talk to Phones: A DSRC Based Vehicle-Pedestrian Safety System

Xinzhou Wu, Radovan Miucic, Sichao Yang, Samir Al-Stouhi, James Misener, Sue Bai, Wai-hoi Chan
2014 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)  
This paper describes the pedestrian and vehicle-based algorithms and gives an overview of how this system warns both the driver and the pedestrian so they can take evasive action and prevent a collision  ...  This system gives 360 degrees, extended range, NLOS view where both the driver and the pedestrian are warned of a possible collision.  ...  team members in Qualcomm Research who have contributed to this work: Doug Brem, Tony Bucceri, Jon Kies, Dominik Loeffler, Jung Ryu, Nilay Shah, Sundar Subramanian, Rambo Tan, Kenneth Vavreck, Lei Zhang, and  ... 
doi:10.1109/vtcfall.2014.6965898 dblp:conf/vtc/WuMYAMBC14 fatcat:l5gwbqzdwrfinejx2ahtl4e6ry

Review of Autonomous Intelligent Vehicles for Urban Driving and Parking

Teck Kai Chan, Cheng Siong Chin
2021 Electronics  
The development of autonomous vehicles relies on the data collected for deployment in actual road conditions. Research gaps and recommendations for autonomous intelligent vehicles are included.  ...  This paper first covers enabling technology involving a vehicle moving out of parking, traveling on the road, and parking at the destination.  ...  The primary sensors involved are GPS, inertial motion units (IMUs), cameras, radar, light detection and ranging (LiDAR), and ultrasonic sensors.  ... 
doi:10.3390/electronics10091021 doaj:4fc9e07aa1f749e09e5527e902b4cecc fatcat:tojtvzhnavhazpegtnef2s4lse

A Review on Driving Control Issues for Smart Electric Vehicles

Tansu S. Haque, Md. H. Rahman, Md. Robiul Islam, Md. A. Razzak, Faisal R. Badal, Md. H. Ahamed, S. I. Moyeen, Sajal K. Das, Md. F. Ali, Z. Tasneem, D. K. Saha, Ripon K. Chakrabortty (+1 others)
2021 IEEE Access  
This paper reviews driving control systems and algorithms for smart EVs, including the advanced driving assistant system, implementation of sensors, vehicle dynamics, and control algorithms.  ...  To provide the latter, driving control requires appropriate systems and algorithms to optimize smart vehicle performance, maximize vehicle stability and protection, minimize accident probability, heighten  ...  This system uses image recognition algorithms to issue warnings whenever there are any pedestrians and animals in the path of the vehicle [14] .  ... 
doi:10.1109/access.2021.3116353 fatcat:prd46jrgsncydbtasfkxia6w3e

Active Pedestrian Protection System, Scenario-Driven Search Method for [chapter]

Alberto Broggi, Pietro Cerri, Stefano Ghidoni, Paolo Grisleri, Ho Gi Jung
2013 Transportation Technologies for Sustainability  
Active hood system detects vehicle-pedestrian collision using bumper-installed pedestrian crash sensor and acceleration sensor, and then two actuators lift the rear part of the bonnet approximately 100  ...  Inertial data produced by off-the-shelf sensors are gathered through the CAN bus using a USB adapter.  ... 
doi:10.1007/978-1-4614-5844-9_486 fatcat:xypjuydktrhq5dt7hl2blcf6lm

Lane Deviation Warning System (Advanced Driver Assistance)

Mrs. M. Ambika
2019 International Journal for Research in Applied Science and Engineering Technology  
In any driving situation, lane lines square measure an important element of indicating traffic flow and wherever a vehicle ought to drive.  ...  In this project, they will be showing you how to build your lane detection system in OpenCV (Open Source Computer Vision) using Python.  ...  with very little or no human input. [4] Autonomous cars combine a variety of sensors to perceive their surroundings, such as radar, GPS, odometer and inertial measurement units.  ... 
doi:10.22214/ijraset.2019.3199 fatcat:wjytoqwcdzedfnpbovzzp6oyna

Learning-Based Autonomous UAV System for Electrical and Mechanical (E&M) Device Inspection

Yurong Feng, Kwaiwa Tse, Shengyang Chen, Chih-Yung Wen, Boyang Li
2021 Sensors  
The result shows that the proposed UAV system enables the inspection mission autonomously and ensures a stable and collision-free flight.  ...  The inspection of electrical and mechanical (E&M) devices using unmanned aerial vehicles (UAVs) has become an increasingly popular choice in the last decade due to their flexibility and mobility.  ...  Compared with the monocular solution, the inertial measurement unit (IMU) can estimate the pose between consecutive visual frames to increase robustness.  ... 
doi:10.3390/s21041385 pmid:33669478 fatcat:34dprk3aqfe5fnhq3me5zm7lym

Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety

C. Laugier, I. E. Paromtchik, M. Perrollaz, M. Y. Yong, J. Yoder, C. Tay, K. Mekhnacha, A. Negre
2011 IEEE Intelligent Transportation Systems Magazine  
The on-board sensors deliver visual, telemetric and inertial data for environment monitoring.  ...  The article deals with the analysis and interpretation of dynamic scenes typical of urban driving. The key objective is to assess risks of collision for the ego-vehicle.  ...  Collision Risk Estimation Consider vehicle A and the ego-vehicle B traveling in the same direction on the adjacent lanes, as shown in Fig. 6 .  ... 
doi:10.1109/mits.2011.942779 fatcat:codt5u2jojhy7ijwdebibuvinm

Object Detection for Autonomous Guided Vehicle

Tanmay Bhosale, Ajim Attar, Prathamesh Warang, Randhir Patil
2022 ASEAN Journal of Science and Engineering  
An autonomous vehicle system with LIDAR can be used on one-way or two-way roads and it is widely used for industrial purposes. The autonomous vehicle is useful for one-way or two-way roads.  ...  The purpose of this paper is to present the design of an obstacle detection system using LIDAR for an autonomous guided vehicle. LIDAR is mostly used in an autonomous vehicle to detect obstacles.  ...  Most vehicles use a combination of cameras, and these two technologies, to look forward and convey collision warnings or apply automatic emergency brakes.  ... 
doi:10.17509/ajse.v2i3.39439 fatcat:idz5fboe7zgwpcvhnnrtx47e4q
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