MSR Thesis Defense
MSR Student / MSR Student
Robotics Institute,
Carnegie Mellon University

Estimating Object Importance and Modeling Driver’s Situational Awareness for Intelligent Driving

3305 Newell-Simon Hall

Abstract: The ability to identify important objects in a complex and dynamic driving environment can help assistive driving systems alert drivers. These assistance systems also require a model of the drivers' situational awareness (SA) (what aspects of the scene they are already aware of) to avoid unnecessary alerts. This thesis builds towards such intelligent driving [...]

MSR Thesis Defense
MSR Student
Robotics Institute,
Carnegie Mellon University

Online-Adaptive Self-Supervised Learning with Visual Foundation Models for Autonomous Off-Road Driving

3305 Newell-Simon Hall

Abstract: Autonomous robot navigation in off-road environments currently presents a number of challenges. The lack of structure makes it difficult to handcraft geometry-based heuristics that are robust to the diverse set of scenarios the robot might encounter. Many of the learned methods that work well in urban scenarios require massive amounts of hand-labeled data, but [...]