  This work presents AutoDRIVE, a comprehensive research and education platform
for implementing and validating intelligent transportation algorithms
pertaining to vehicular autonomy as well as smart city management. It is an
openly accessible platform featuring a 1:14 scale car with realistic drive and
steering actuators, redundant sensing modalities, high-performance
computational resources, and standard vehicular lighting system. Additionally,
the platform also offers a range of modules for rapid design and development of
the infrastructure. The AutoDRIVE platform encompasses Devkit, Simulator and
Testbed, a harmonious trio to develop, simulate and deploy autonomy algorithms.
It is compatible with a variety of software development packages, and supports
single as well as multi-agent paradigms through local and distributed
computing. AutoDRIVE is a product-level implementation, with a vast scope for
commercialization. This versatile platform has numerous applications, and they
are bound to keep increasing as new features are added. This work demonstrates
four such applications including autonomous parking, behavioural cloning,
intersection traversal and smart city management, each exploiting distinct
features of the platform.
