Panoramic Vision System to Eliminate Driver’s Blind Spots using a Laser Sensor and Cameras

Park, Min Woo; Jang, Kyung Ho; Jung, Soon Ki

doi:10.1007/s13177-012-0046-4

Cited by 14 publications

(5 citation statements)

References 16 publications

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“…The movement of the camera can be achieved by making an offset along each axis of the camera The movement of the camera can be achieved by making an offset along each axis of the camera position, so that the offset unit is b, as shown in equation (4).…”

Section: Lookatmentioning

confidence: 99%

“…The original research of the panoramic view system mainly focused on the 2D look-around solution, which can seamlessly connect the captured images through image correction by multiple cameras. At the same time, the brightness and color of different cameras are adjusted to make the synthesized panoramic view look more coordinated However, there are some defects in 2D panoramic looping, such as small imaging range, low utilization of the original image, and serious stretching of the vision, which will make the object in the looping image distort and confuse people [4].In the current 2D viewing, only the portion of the fisheye image that is closer to the carrier is used, that is, the final viewing image can only display the situation near the carrier, and the original image information cannot be fully utilized.…”

Section: Introductionmentioning

confidence: 99%

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Embedded GPU 3D Panoramic Viewing System Based on Virtual Camera Roaming 3D Environment

Meng

Yuan

et al. 2019

IEEE Access

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The traditional 2D panoramic view has the problem of small imaging range, low utilization of original image and serious stretching of the foreground. This paper designs a 3D panoramic viewing system. The real-time performance of the panoramic system requires a large number of parallel image transformations. The general-purpose processor CPU is incapable. This paper designs an embedded GPU solution. The core computing module is based on NXP's i.MX6Q application processor and builds an embedded Linux system. Using V4L2 to capture images to reduce memory and CPU usage, and use OpenGL ES shaders to process image transformations in parallel at high speed. Because it is in a 3D environment, it is impossible to cover all images through a still viewpoint like a 2D look-around. In order to roam the 3D scene, this paper proposes to design a virtual camera system. Using the virtual camera to roam the 3D environment, realize the virtual viewpoint in the 3D scene, traverse each scene in the grid, eliminate the dead angle of the field of view, and finally realize the 3D panoramic view, and verified on the embedded hardware platform, which can clearly roam every image on the surface. And recorded the video of 3-D looping. Experiments show that the 3D panoramic viewing system proposed in this paper has excellent performance and good effects. It has a good real-time performance on the image display, and the response speed is increased by 5%. The main operation is undertaken by the GPU and only takes a small number of CPU resources. The proposed virtual camera system can better realize the 3D panoramic view.INDEX TERMS Embedded GPU, Linux, OpenGL ES, virtual camera, 3D panoramic view.

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Section: Lookatmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Embedded GPU 3D Panoramic Viewing System Based on Virtual Camera Roaming 3D Environment

Meng

Yuan

et al. 2019

IEEE Access

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“…Many approaches have been attempted to tackle the blind spot phenomenon such as a camera-based system that used several stages for image processing but encounters a big issue regarding insufficient images for extraction, that contributes to false and missing detections issue [8]. The panoramic view that provides extra safety information also may be useful if the distortion issue and slower performance regarding this work can be solved [9]. Thus, a simple processing approach via optical flow has been demonstrated in compromising a real-time safety alarm, without database usage [10,11,12], even a different technique through detection of shadows in daytime and headlamps in night-time had been attempted for faster detection but requires two different algorithms [13].…”

Section: Introductionmentioning

confidence: 99%

Vehicle Blind Spot Monitoring Phenomenon using Ultrasonic Sensor

Z.¹

2020

IJETER

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This paper evaluates a conceptualization of Vehicle Blind Spot Monitoring System (VBMS), which performs a more effective approach in eliminating blind spot of the driver. The newly developed smart blind spot monitoring system simply focusing on an advancement of the preceding work, along with compromising user compatibility and cost-effectiveness. Compact design, reliable and low-cost that contributes to a highly affordable safety feature are the flagship of this new system. Components selection is the main role in constructing an inexpensive blind spot detection system in the present work. Thus, Arduino UNO R3 model and HC-SR04 ultrasonic sensors were employed for the VBMS system due to reasonable market price. Plus, the ultrasonic sensor has demonstrated a remarkable performance in the past blind spot detection system application. Concerning easy installation as well as maintenance on any vehicle, the VBMS is designed as a compact device which assembles the main control unit and sensory parts in a single body to be located at the bottom of the side mirror. Meanwhile, the hazard-warning signal is separately located at the passenger compartment for easily visible by the driver. The angle and sensing range of sensors are both adjustable but vital as their projections define the blind spot limit accurately by characterizing low to a high potential hazard. At the end of this work, a complete VBMS functional prototype of has been establish which effective for real traffic on-road experimentation, with various conditions specified (static, various speed, and overtaken). From the data collected, all targets of the present work have been attained regarding monitoring phenomenon shown by the new-built system. Both pros and cons of VBMS are discussed for further improvement ideas on product development.

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“…Driverless cars are expected to reduce the number of accidents happening due to human errors, and hence should be equipped with effective safety systems. These systems work on the inputs from cameras and sensors [1][2][3]. Major sensors are Light Detection and Ranging (LIDAR), Radio Detection and Ranging (RADAR), and Sound Detection and Ranging (SONAR).…”

Section: Introductionmentioning

confidence: 99%

“…Uber and Tesla have tried reducing the lidars from five to one (mounted on the top of the car) but faced some accident issues because of it [5,6]. Lot of research is going on for making the cost-effective accident avoidance systems which can assist the car like human brain [3,[7][8][9][10]. Existing systems use various techniques for car detection which includes histogram of gradient decent (HOG) and You Look Only Once (YOLO)-based identification [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Computer Vision Based Position and Speed Estimation for Accident Avoidance in Driverless Cars

Thakurdesai

Aghav

2020

Advances in Intelligent Systems and Computing

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In the field of driverless cars, safety is the main concern. The safety systems for these cars are mainly dependent on the inputs of cameras and sensors like Light Detection and Ranging (LIDARs). Lidar is an essential component in driverless cars which creates 3D map of the surrounding and assists the car for driving. Lidar based safety systems are effective but are very expensive as the lidars are costly. Hence, there is a need to design a system which can assist the car effectively on the road, without using the lidar. This paper presents a proposed design of accident avoidance system for driverless cars, which uses computer vision techniques and works on the input of single video camera. It analyzes the video frames and shows accident warnings while on turn or lane change. The system is cost effective and can work with IoT devices having low computational power. To verify the performance of the system, we have performed experiments on various scenarios including cars at different positions moving with different speed and we obtained satisfactory results.

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Panoramic Vision System to Eliminate Driver’s Blind Spots using a Laser Sensor and Cameras

Cited by 14 publications

References 16 publications

Embedded GPU 3D Panoramic Viewing System Based on Virtual Camera Roaming 3D Environment

Embedded GPU 3D Panoramic Viewing System Based on Virtual Camera Roaming 3D Environment

Vehicle Blind Spot Monitoring Phenomenon using Ultrasonic Sensor

Computer Vision Based Position and Speed Estimation for Accident Avoidance in Driverless Cars

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