Abstract:
Self-Driving Cars are poised for accelerated adoption, with potential benefits such as better
overall traffic management and environmental sustainability. Self-driving cars create and keep
a map of their environment based on the input form the variety of sensors located at multiple
parts of the vehicle. The software then processes all these sensory inputs, based on which
instructions are sent for the vehicle’s actuation. Vehicle uses visual inertial audiometry for
sensing its environment, convolutional neural network for traffic sign recognition and stereo
vision-based 3D object detection to plan its local and global path, which is followed by the
actuation of low-level controller.
In this project we aimed at developing steering and braking mechanism for an autonomous
vehicle, we also developed lateral and longitudinal controls for the automation of steering and
braking. afterwards we implemented the controllers for the testing and validation. We designed
chassis for steering and braking integration. Purpose was the validation and testing of steering
and braking, as chassis provides the mounting points for different components for their
Integration. The components for steering and braking as well as the chassis were modeled in
solid works, analysis was carried out using ANSYS workbench. After confirming that our
design is safe, under different load conditions, we fabricated our system, the manufacturing
techniques employed include Cutting, milling, drilling, 3D printing and metal laser Cutting.
In the coming sections we will address these systems separately. Chapter 1 is introduction,
Chapter 2 deals with braking system, chapter 3 steering system, chapter 4 the integration of
both systems through the chassis, followed by results, conclusions, and recommendations. In
braking and steering system chapters we will mention detailed intro, literature review,
methodology, design, and Analysis.
