3 accepted papers
Single-vehicle autonomy remains constrained by perception errors and uncoordinated maneuvers, resulting in avoidable collisions and throughput losses at intersections. Cooperative Driving Automation (CDA) offers substantial gains, yet fragmented toolchains hinder progress: industry develops closed s
Multi-agent LLM systems can improve reasoning and tool use, yet recent evidence shows their gains are often unstable and sensitive to interaction design. A promising direction is to \emph{train} collaboration, but team post-training introduces a moving-target effect: when agents interact through a s…
Withheterogeneous sensors offering complementary advantages in perception, there has been a significant growth in sensor-fusion based research and development in object perception and tracking using classical or deep neural networks based approaches. However, supervised learning requires massive lab