Browsing by Author "Hossain, Md Touhid"
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Item Development and Demonstration of an In-Vehicle Lane Departure Warning System Using Standard GPS Technology(Minnesota Department of Transportation, 2021-06) Chowdhury, Shahnewaz; Hossain, Md Touhid; Hayee, M. I.A lane departure warning system (LDWS) has significant potential to reduce crashes on roads. Most existing commercial LDWSs use some kind of image processing techniques with or without Global Positioning System (GPS) technology and/or high-resolution digital maps to detect unintentional lane departures. However, the performance of such systems is compromised in unfavorable weather or road conditions, e.g., fog, snow, or irregular road markings. Previously, we proposed and developed an LDWS using a standard GPS receiver without any high-resolution digital maps. The previously developed LDWS relies on a road reference heading (RRH) of a given road extracted from an open-source, low-resolution mapping database to detect an unintentional lane departure. This method can detect true lane departures accurately but occasionally gives false alarms, i.e., it can issue lane departure warnings even when a vehicle is within its lane. The false alarms occur due to the inaccuracy of how the RRH originated from an inherent lateral error in open-source, low-resolution maps. To overcome this problem, we proposed and developed a novel algorithm to generate an accurate RRH for a given road using a vehicle's past trajectories on that road. The newly developed algorithm that generates an accurate RRH for any given road has been integrated with the previously developed LDWS and extensively evaluated in the field for detection of unintentional lane departures. The field test results showed that the newly developed RRH Generation algorithm significantly improved the performance of the previously developed LDWS by accurately detecting all true lane departures while practically reducing the frequency of false alarms to zero.Item An In-Vehicle Lane Departure and Erratic Driving Warning System using V2V Communication and Standard GPS Technology(2021-06) Hossain, Md TouhidSome of the critical features of Advanced Driver Assistance Systems (ADAS), including unintentional lane departure warning and erratic driving warning have significant potential to reduce crashes. Generally, these systems use either various image processing techniques or Global Positioning System (GPS) technology with lane-level resolution maps. However, these are expensive to implement as well as have some limitations, such as harsh weather or irregular lane markings can drastically reduce their performance. Previously, we developed a lane departure warning system (LDWS) where we generated road reference heading (RRH) form a vehicle’s past travel trajectories acquired by GPS to detect unintentional lane departure. But when a vehicle travels for the first time on a given road, it does not have any past trajectory of that road to generate RRH of that road needed to detect unintentional lane departure. So, in this thesis, we have improved our previously developed LDWS by adding a vehicle to vehicle (V2V) communication feature to the existing LDWS so that a vehicle traveling on a road for the first time can acquire the RRH of that road from a nearby vehicle via V2V communication. Furthermore, we have also enhanced the existing LDWS by adding a parallel erratic driving warning system (EWDS) to detect erratic driving behavior of a vehicle so that the system can issue timely warnings to alert the driver. We have considered two most common erratic driving scenarios; inter lane change and intra lane change erratic driving. We have developed an algorithm to detect both erratic driving behaviors and implemented the algorithm in a prototype system. We have extensively tested the V2V communication feature of LDWS as well as theEDWS in the field to evaluate their accuracy in real-time. Our field test results show an RRH successfully transfers from one vehicle to another, and the EDWS can detect each erratic driving scenario during the test drives accurately in a timely manner.