Detection scheme for a partially occluded pedestrian based on occluded depth in lidar–radar sensor fusion
نویسندگان
چکیده
منابع مشابه
Detection scheme for a partially occluded pedestrian based on occluded depth in lidar–radar sensor fusion
Object detections are critical technologies for the safety of pedestrians and drivers in autonomous vehicles. Above all, occluded pedestrian detection is still a challenging topic. We propose a new detection scheme for occluded pedestrian detection by means of lidar–radar sensor fusion. In the proposed method, the lidar and radar regions of interest (RoIs) have been selected based on the respec...
متن کاملWiP Abstract: Low-Complexity Partially Occluded Pedestrian Detection Scheme using LIDAR-RADAR Sensor Fusion
In the past decade, object detection has been researched to use a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. In addition, previous researches were unable to detect partially occluded pedestrian because the data to determi...
متن کاملA Partially Occluded Sea-Sky Line Detection Algorithm
In this paper an efficient method is proposed to detect a partially occluded sea-sky line in a gray scale image. The proposed method makes a measure-map by using a modified local-variance measure that consists of logarithm scale transformations and a vertical gradient mask. The measure-map is divided into sub measure-maps into which the regional candidate is made. The positions having the maxim...
متن کاملDetecting Semantic Parts on Partially Occluded Objects
In this paper, we address the task of detecting semantic parts on partially occluded objects. We consider a scenario where the model is trained using non-occluded images but tested on occluded images. The motivation is that there are infinite number of occlusion patterns in real world, which cannot be fully covered in the training data. So the models should be inherently robust and adaptive to ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optical Engineering
سال: 2017
ISSN: 0091-3286
DOI: 10.1117/1.oe.56.11.113112