3 accepted papers
Forecasting is a task that is difficult to evaluate: the ground truth can only be known in the future. Recent work showing LLM forecasters rapidly approaching human-level performance begs the question: how can we benchmark and evaluate these forecasters *instantaneously*? Following the consistency c…
Visual navigation using only a single camera and a topological map has recently become an appealing alternative to methods that require additional sensors and 3D maps. This is typically achieved through an "image-relative" approach to estimating control from a given pair of current observation and s…
Global localization is a critical problem in autonomous navigation, enabling precise positioning without reliance on GPS. Modern techniques often depend on dense LiDAR maps, which, while precise, require extensive storage and computational resources. Alternative approaches have explored sparse maps