7 accepted papers
Risk-bounded motion planning in dynamic environments for autonomous driving presents complex challenges, particularly in solving the nonconvex problem of ensuring continuous, safe, and real-time navigation towards a destination. This paper introduces an online graph-based local planning approach con
Before the world-wide deployment of autonomous vehicles, it is essential to implement intermediate solutions with partial autonomy. One such solution is the use of vehicle teleoperation, the act of controlling a vehicle from a distance. In real time applications of teleoperation, it is often pertine…
The efficient navigation of autonomous vehicles across rugged and unstructured terrains remains a significant challenge. Most existing research in this area emphasizes the need for complex mappings or intricate multi-step methodologies. However, these traditional approaches often struggle to adapt t…
Navigating autonomous vehicles efficiently across unstructured and off-road terrains remains a formidable challenge, often requiring intricate mapping or multi-step pipelines. However, these conventional approaches struggle to adapt to dynamic environments. This paper presents TerrainSense, an end-t…
Persistent multi-object tracking (MOT) allows autonomous vehicles to navigate safely in highly dynamic environments. One of the well-known challenges in MOT is object occlusion when an object becomes unobservant for subsequent frames. The current MOT methods store objects information, such as trajec…
The Partially Observable Markov Decision Process (POMDP) is widely used in probabilistic planning for stochastic domains. However, current extensions, such as constrained and chance-constrained POMDPs, have limitations in modeling real-world planning problems because they assume that all actions hav…
Aircraft routing problem is a crucial component for flight automation. Despite recent successes, challenges still remain when the environment is dynamic and uncertain. In this paper, we tackle the following two challenges. First, when the environment is uncertain, it is much safer if the route plann…