Sensor Fusion Algorithm For Software Based Advanced Driver-Assistance Intelligent Systems

Abstract

The diversity of smart and cognitively intelligent features integrated into the modern contemporary cars is rising rapidly. Intelligent cooperative driving is one of the several applications of the IOT field in which cars interact with other vehicles on road and provide a streamlined flow of traffic smartly. The main ingredients for making this technology successful are the sensing devices mounted on every vehicle. The main purpose of this paper is to discuss the safety of future autonomous vehicles which will be sharing information of impending hazards on road with other cars. The paper provides an overview of several problems, uncertainties, and inaccuracies emerging from sensor data fusion during car-to-car interaction in autonomous vehicles. The rate at which some sensors update their information is different for different sensors which lead to incorrect scene comprehension. Several survey report results are provided showing evidence of future sensor usage in the automotive market which accounts for billions of dollars. Safety in smart cars can be guaranteed if they communicate information unambiguously to nearby cars in their vicinity.