Lightweight Object Detection Ensemble Framework for Autonomous Vehicles in Challenging Weather Conditions.

ABSTRACT: The computer vision systems driving autonomous vehicles are judged by their ability to detect objects and obstacles in the vicinity of the vehicle in diverse environments. Enhancing this ability of a self-driving car to distinguish between the elements of its environment under adverse conditions is an important challenge in computer vision. For example, poor weather conditions like fog and rain lead to image corruption which can cause a drastic drop in object detection (OD) performance. The primary navigation of autonomous vehicles depends on the effectiveness of the image processing techniques applied to the data collected from various visual sensors. Therefore, it is essential to develop the capability to detect objects like vehicles and pedestrians under challenging conditions such as l

SUBMITTER: Walambe R 

PROVIDER: S-EPMC8516532 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature