A Real-Time Embedded Blind Spot Safety Assistance System

Abstract

This paper presents an effective vehicle and motorcycle detection system in the blind spot area in the daytime and nighttime scenes. The proposed method identifies vehicle and motorcycle by detecting the shadow and the edge features in the daytime, and the vehicle and motorcycle could be detected through locating the headlights at nighttime. First, shadow segmentation is performed to briefly locate the position of the vehicle. Then, the vertical and horizontal edges are utilized to verify the existence of the vehicle. After that, tracking procedure is operated to track the same vehicle in the consecutive frames. Finally, the driving behavior is judged by the trajectory. Second, the lamps in the nighttime are extracted based on automatic histogram thresholding, and are verified by spatial and temporal features to against the reflection of the pavement. The proposed real-time vision-based Blind Spot Safety-Assistance System has implemented and evaluated on a TI DM6437 platform to perform the vehicle detection on real highway, expressways, and urban roadways, and works well on sunny, cloudy, and rainy conditions in daytime and night time. Experimental results demonstrate that the proposed vehicle detection approach is effective and feasible in various environments.

A Memory-Efficient Architecture of Full HD Around View Monitor Systems

“…Thus, the memory bandwidth required to store (from the input camera channel) and read (by the LUT mapper) the input video of 30 fps is 237.3 MB/s per camera channel, respectively. 3 After the LUT mapping is applied to the input image, the resulting pixel data are not consecutive in the bird's-eye-view image. Thus, they need to be stored into the memory employing single-write operations, losing the bandwidth of typical DRAM burst write operations.…”

“…Recently, with the development of camera and image processing techniques, ADASs based on vision systems, such as the lane departure warning system (LDWS) [1], forward collision warning (FCW) system [2], blind spot detection (BSD) [3], and traffic sign recognition (TSR), [4] are becoming increasingly popular. The around view monitor (AVM) system [5] uses multiple fisheye cameras 1 mounted on the vehicle to provide the driver with a bird's-eyeview image of the area around the vehicle.…”

“…4 3. The memory usage has room for improvement in that there is 8-bit dummy data in every 32-bit data stored in the DRAM.…”

Using Real-Time Dynamic Prediction to Implement IoV-Based Collision Avoidance

“…Note that the difference between passive and active safety is the operating time-namely, an active safety system will operate before the accident and thus attempt to avoid such accidents [1]. Many advanced safety techniques have been developed for various scenarios, such as the Lane Departure Warning system (LDW) [2], Forward Collision Warning system (FCW) [3], Blind Spot Warning system (BSW) [4], and Parking Assistant System (PAS) [5][6][7], and navigation [8,9]. Therefore, vehicular safety systems have already become more and more indispensable for up-to-date vehicles.…”

Vehicular Radio Scanner Using Phased Array Antenna for Dedicated Short Range Communication Service

“…Many methods were proposed to detect the blind spot area but all of them had certain limitations. Devices like dynamic angling side view mirror [2], side view camera model [3], and shadow or edge features detector [4] were used for detecting blind spot area but their performance was affected during bad weather, fog or mist. Also we know that the mechanical systems, response time is more and the system is prone to wear and tear.…”