3 accepted papers
In advanced driver-assistance systems, current computer vision algorithms predominantly rely on frame-based RGB cameras, which suffer from high latency in high-speed or sudden-scenario applications due to fixed frame rates. In response to this challenge, event-based cameras have gained attention as
Developing an efficient collision avoidance policy with Spiking Reinforcement Learning for dynamic, decision-making agents remains challenging. Moreover, the implementation of energy-efficient collision avoidance is important for mobile robots that operate with limited on-board computing resources.…
Our study focuses on mapless navigation in robotics, which involves navigating without an established obstacle map of the environment. Spiking Neural Networks (SNNs) have recently been applied to this task using Deep Reinforcement Learning (DRL), but face challenges in dynamic and partially observab…