Autonomous Aerial Vehicles
We have developed autonomous aerial platforms capable of navigating in tight orchard rows and multi-robot systems capable of tracking tagged animals. Capabilities: vision-based obstacle avoidance, multi-uav communication and coordination, coverage and search algorithms.
Semantic Mapping of Orchards
Row Crop Monitoring
Similar to our work on orchards and specialty fruit, we have also developed computer vision algorithms to reconstruct fields and extract semantic information such as locations of rows, and plant height variation along the row.
We gratefully acknowledge support from the National Science Foundation, US Department of Agriculture and Minnesota MnDrive Initiative.