Embedded system for automotive
01 Aug 2016-pp 1-3
TL;DR: The agenda of this proposed work is to suggest a solution to improve a driver's safety while changing lane, which focuses on the low-end vehicle with blind spot detection system for protection against misshapen like vehicle collisions that causes loss of human lives.
Abstract: Driving a vehicle in traffic conditions is highly risky. If the driver is not aware of the presence of a vehicle or obstacle in his blind spot, an accident can occur. The agenda of this proposed work is to suggest a solution to improve a driver's safety while changing lane, which focuses on the low-end vehicle. A blind spot detection system for protection against misshapen like vehicle collisions that causes loss of human lives. The system uses two different sensing positions in right and left side of the car. Ultrasonic sensors, Raspberry pi and a alarm are used to implement the design. The blind spot detection system will be useful while changing the lane, and with the help of this system the driver will come to know about presence of vehicle in blind spot which gives warning through alarm to driver.
Citations
More filters
14 Jun 2018
TL;DR: An Image processing algorithm is developed in python using OpenCV library to track the lanes and gives an acoustic warning in advance if there is lane departure or blind spot detection.
Abstract: Many accidents occur due to distracted driving and human errors. Partial Autonomous Driver Assistance System (ADAS) can assist the driver to avoid the collision and maintain the control of the vehicle by giving warning signals. The system consists of (i) lane detection and tracking (ii) Lane Departure Warning (LDWS) (iii) Blind spot detection and warning system (BDWS). An Image processing algorithm is developed in python using OpenCV library to track the lanes and gives an acoustic warning in advance if there is lane departure or blind spot detection. The proposed system is implemented on raspberry pi microcontroller board to check the accuracy of the algorithm.
16 citations
Cites methods from "Embedded system for automotive"
...For avoiding collision due to blind spot using ultrasonic sensors [14]....
[...]
03 Aug 2021
TL;DR: In this paper, a system that uses the Bluetooth Low Energy (BLE) module to detect the presence of objects (smartphones) belonging to other road users is proposed, where the detection results in the form of user distance and location prediction are displayed on the driver's smartphone screen.
Abstract: Blind spot is the area around the vehicle that cannot be seen by the driver's view even with the help of the rear view mirrors on the vehicle. Therefore a solution is needed to overcome this problem. This study proposes a system that can detect other road users in the blind spot area. This system uses the Bluetooth Low Energy (BLE) module to detect the presence of objects (smartphones) belonging to other road users. Prediction of the distance to the road user is obtained by calculating the RSSI value between the user's smartphone and the detecting BLE module. Meanwhile, the object's position is obtained by using a multilateration algorithm. In this study, the Kalman Filter is also used to suppress the noise obtained during the target detection process. Detection results in the form of user distance and location prediction are displayed on the driver's smartphone screen. Testing the detection of vehicles in a blind spot area in stationary conditions produces an accuracy value of 88.3%.
Proceedings Article•
01 Jan 2018TL;DR: A system for detecting vehicles in blind spot zones by measuring the distance between a vehicle and other vehicles in its adjacent right/left lanes is proposed, and alerting drivers of a possible forward collision and unsafe lane change.
Abstract: Tremendous number of fatalities and severe injuries are the result of traffic accidents which have a negative social and economic impact. People, authority, all society wish to reduce the number of traffic accidents and make roads safer. Advanced driver assistance system (ADAS) can play a key role in reducing number of traffic accidents. In this paper, a system for detecting vehicles in blind spot zones by measuring the distance between a vehicle and other vehicles in its adjacent right/left lanes is proposed. If there is a vehicle in the blind spot zones, changing the lane will not be safe. The system is also able to determine whether the distance between a vehicle and its front vehicle is safe or not. Consequently, drivers will be alerted of a possible forward collision and unsafe lane change. The system hardware consists of a microcontroller, three ultrasonic sensors, LCD, and a buzzer. An algorithm is developed to acquire data from sensors, analyze it, identify possible forward collisions and unsafe lane change, and alert drivers accordingly. Experiments have been conducted to test the proposed system on roads using real scenarios where drivers perform maneuvers such as lane change, merging to roads, exiting from roads, closely approaching the front vehicle. Experiments show promising results and an excellent accuracy of the system.
Cites background from "Embedded system for automotive"
...In [17], a blind spot detection system which depends on proximity distance was proposed....
[...]
References
More filters
01 Dec 2011
TL;DR: This paper will present the state of the art for Advanced Driver Assistance Systems and will give detailed overviews of past, present and future designs of each variant.
Abstract: Every year, automobile manufactures spend millions in funding development of cutting edge technologies to keep drivers safe and accident free while operating their vehicles. These technologies are known in the industry as Advanced Driver Assistance Systems and each one is controlled by complex real-time embedded systems. This paper will present the state of the art for Advanced Driver Assistance Systems and will give detailed overviews of past, present and future designs of each variant. Each overview will focus on the design of the actual real-time embedded system involved.
117 citations
TL;DR: An embedded advanced RISC machines (ARM)-based real-time LDWS based on spatial and temporal mechanisms that effectively generate effective warning signals and avoid most false warnings is proposed.
Abstract: Lane departure warning systems (LDWS) are an important element in improving driving safety. In this paper, we propose an embedded advanced RISC machines (ARM)-based real-time LDWS. As for software development, an improved lane detection algorithm based on peak finding for feature extraction is used to successfully detect lane boundaries. Then, a spatiotemporal mechanism using the detected lane boundaries is designed to generate appropriate warning signals. As for hardware implementation, a 1-D Gaussian smoother and a global edge detector are adopted to reduce noise effects in the images. By using the developed data transfer channel (DTC) in the reconfigurable field-programmable gate array (FPGA) module, the data transfer rate among the complementary metal-oxide-semiconductor (CMOS) imager module, liquid-crystal display (LCD) display module, and central processing unit (CPU) bus is about 25 frame/s for an image size of 256 times 256. In addition, the proposed departure warning algorithm based on spatial and temporal mechanisms is successfully executed on the presented ARM-based platform. The effectiveness of our system concludes that the lane detection rate is 99.57% during the day and 98.88% at night in a highway environment. The proposed departure mechanisms effectively generate effective warning signals and avoid most false warnings.
114 citations
14 Jun 2004
TL;DR: In this paper, an ultrasonic sensor system was designed and implemented for lateral collision avoidance of vehicles at low speeds, which is useful for detecting vehicles, motorcycles, bicycles and pedestrians that pass by the lateral side of a vehicle.
Abstract: In this study, we-design and implement an ultrasonic sensor system for lateral collision avoidance of vehicles at low speeds The developed sensor system is useful for detecting vehicles, motorcycles, bicycles and pedestrians that pass by the lateral side of a vehicle The system can be adopted to enhance the rear-view mirrors of present vehicles, which have blind spots on the lateral sides Ultrasonic sensors, which have been widely used on cars for rear object detection during parking, are developed for lateral object detection at low speeds Detailed experimental studies are presented in this paper Experimental results show that the proposed system can detect a vehicle at speeds up to 40 km/hr with a maximum range of 6 meters Moreover, the influence of wind on the measurement is also investigated The developed sensor system gives satisfactory results for a wind speed up to 35 km/hr
62 citations
TL;DR: The aim was to examine driver-assistance systems that seem to have a considerable potential for road safety and traffic efficiency improvement, and to propose an impact-oriented classification of these systems, which allocates them in four different categories on the basis of whether traffic efficiency and safety impact are high or low.
60 citations
09 Jun 2003
TL;DR: A Precrash-system for cars, based on 4 short-range radars (24GHz) and the associated signal processing, which provides information about a crash relevant situation and generates the information immediately before an imminent accident happens.
Abstract: In present-day cars, safety systems like airbag or seat belt pretensioner reduces accident consequences for passengers. Future generations of cars will support additional safety functions such as precrash, collision warning and broke assistant. For safety functions like precrash the timely deployment of seat belt pretensioner and some other safety systems is important, but is a very difficult problem. In this paper, we describe a Precrash-system for cars, based on 4 short-range radars (24GHz) and the associated signal processing, which provides information about a crash relevant situation. The system generates the information immediately before an imminent (inevitable) accident happens. For crash-relevant situation, it provides information about the location, distance and relative velocity of the cash-relevant object as exact as possible to achieve an optimum effect. Other important requirements for the signal processing task were very low computation time and very low memory consumption. Therefore a special basic approach for signal processing, based on classification, was realized and will be introduced.
42 citations