A Novel Approach for Object Detection, Path Planning, and Control of Autonomous Vehicles on Rural Roads
Abstract
Many large and small companies have studied and applied autonomous driving systems to the real world. However, much of it is still lacking. In fact, it is easy to find news of accidents of vehicles with autonomous driving technology. Research related to autonomous driving is directly related to human life, so no error should be allowed, and much research effort is needed yet. In order to meet the three significant aspects of current self-driving research: driving accuracy, safety, and comfort, we have constructed three topics that can cover all four essential elements of self-driving cars, which are perception, path planning, decision making, and controller. In this research, we will propose the novel approached methods to solve the current issues of autonomous vehicles and discuss the simulation results which were conducted through our newly implemented simulation environment. Through this, we will show our novel methods have acceptable performance and have breakthrough ideas that others didn't consider yet that can contribute to the future autonomous driving research area.
Subject
Autonomous VehiclesObject Detection
Path Planning
Control
Pure Pursuit
Driving Accuracy
Driving Safety
Driving Comfort
Citation
Kim, Yang Woo (2022). A Novel Approach for Object Detection, Path Planning, and Control of Autonomous Vehicles on Rural Roads. Doctoral dissertation, Texas A&M University. Available electronically from https : / /hdl .handle .net /1969 .1 /197362.