Autonomous driving is the metaphorical modern day space race, in the sense that it is an
immensely challenging task that spans numerous domains. Successful self-driving systems …

Traffic congestion has been persistently growing in the US from 1982 to 2020 since road
capacity has not grown at the same pace as the population in urban areas. In 2019, traffic …

Current advances in the development of autonomous cars suggest that driverless cars may
see wide-scale deployment in the near future. Research by both industry and academia is …

Motion planning is one of the core modules for autonomous driving. Among the current
motion planning techniques, optimization-based methods have unique advantages since …

Recent advancements in self-driving car technologies have enabled them to navigate
autonomously through various environments. However, one of the critical challenges in …

In the past decade, the autonomous driving industry has seen tremendous advancements
thanks to the progress in computation, artificial intelligence, sensing capabilities, and other …

Autonomous vehicles need to plan at the task level to compute a sequence of symbolic
actions, such as merging left and turning right, to fulfill people's service requests, where …

Autonomous driving is a disrupting technology that is expected to reshape transportation
systems. The benefits of autonomous vehicles include, but are not limited to, safer …

Numerical experiments for motion planning of road vehicles require numerous components:
vehicle dynamics, a road network, static obstacles, dynamic obstacles and their movement …

An autonomous vehicle can operate itself without any human interaction through the
capacity to sense its surroundings. It requires a navigation plan to travel avoiding collision …