Zhao et al. proposed a camera-based deep learning method that can accurately detect other vehicles in the blind spot. ... The goal of this research is to develop a fuzzy logic-based vehicle...

Download scientific diagram | Flow Diagram of the Blind-spot detection algorithm from publication: Vision-Based Blind Spot Detection Using Optical Flow | This paper describes a...

This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver since they are located in the so-called blind spot. The detection of

the requirements for a blind-spot detection system from the operator’s perspective. Diagrams were created to display blind spots around the two tractors. A camera-based system, which was able to eliminate all blind spots, was proposed as a feasible blind-spot detection system.

This paper focuses on the implementation carried out for Cost effective Blind Spot Detection solution that can be applied for Low and Medium range vehicles. This paper also talks about the Verification of the developed algorithms using live videos as well as a Simulator.

proposed blind-spot detection system is described in Fig. 1. The system consists of four stages: estimation of weather-adaptive threshold values, multi-resolution optical flo. etection, static feature detection, and detection decisio.

This paper describes a vision-based system for blind spot detection in intelligent vehicle applications. A camera is mounted in the lateral mirror of a car with the intention of visually detecting cars that can not be perceived by the vehicle driver

This paper proposed a Smart Vehicle Blind Spot Detection System (VBDS) to observe the blind spot region based on ISO 17387: 2008(E). This system is mounted with two programmable 24 GHz radar sensors on the left and right rear side of the car.

2022年8月17日 · In this research, the design of two convolutional neural networks (CNNs) based on high-level feature descriptors and their integration with faster R-CNN is proposed to detect blind-spot collisions for heavy vehicles.

Figure 5 shows an example of blind spot detection in a se- quence of images. The indicator depicted in the upper-right part of the figure toggles from green to blue when a vehicle enters the...