Part of Signal processing for environment-aware radar (SPEAR)

Camera-aided occupancy-grid mapping

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Occupancy grid mapping Camera sensing Sparse Bayesian learning

This research strand sits within SPEAR’s multimodal sensing sub-project. It combines camera information with radar-based occupancy-grid mapping, using visual context to inform the prior beliefs used by the mapping method.

The related paper presents a camera-aided binary-prior approach for automotive occupancy-grid mapping.

Research question

How can camera observations provide reliable prior information when automotive radar must estimate occupied space?

Contribution

Introduces camera-aided binary priors that strengthen occupancy-grid estimates while retaining the radar-centric mapping pipeline.