The rising popularity of self-driving cars has led to the emergence of a new research field in
recent years: Autonomous racing. Researchers are developing software and hardware for …

Visual recognition ecosystems (eg ImageNet, Pascal, COCO) have undeniably played a
prevailing role in the evolution of modern computer vision. We argue that interactive and …

Safe deployment of self-driving cars (SDC) necessitates thorough simulated and in-field
testing. Most testing techniques consider virtualized SDCs within a simulation environment …

The deployment and evaluation of learning algorithms on autonomous vehicles (AV) is
expensive, slow, and potentially unsafe. This paper details the F1TENTH autonomous …

Prototyping and validating hardware–software components, sub-systems and systems within
the intelligent transportation system-of-systems framework requires a modular yet flexible …

The ability to accurately predict others' behavior is central to the safety and efficiency of
robotic systems in interactive settings, such as human–robot interaction and multi-robot …

Autonomous racing in robotics combines high‐speed dynamics with the necessity for
reliability and real‐time decision‐making. While such racing pushes software and hardware …

DeepRacer is a platform for end-to-end experimentation with RL and can be used to
systematically investigate the key challenges in developing intelligent control systems …

Robotics has long been a field riddled with complex systems architectures whose modules
and connections, whether traditional or learning-based, require significant human expertise …

DeepRacer is a platform for end-to-end experimentation with RL and can be used to
systematically investigate the key challenges in developing intelligent control systems …