13 citations · 22 across the 7 of their papers we have counts for
7 papers
Dynamically Modulating Visual Place Recognition Sequence Length For Minimum Acceptable Performance Scenarios
Connor Malone, Ankit Vora, Thierry Peynot +1
Mobile robots and autonomous vehicles are often required to function in environments where critical position estimates from sensors such as GPS become uncertain or unreliable. Sing…
Improving Road Segmentation in Challenging Domains Using Similar Place Priors
Connor Malone, Sourav Garg, Ming Xu +2
Road segmentation in challenging domains, such as night, snow or rain, is a difficult task. Most current approaches boost performance using fine-tuning, domain adaptation, style tr…
PointCrack3D: Crack Detection in Unstructured Environments using a 3D-Point-Cloud-Based Deep Neural Network
Faris Azhari, Charlotte Sennersten, Michael Milford +1
Surface cracks on buildings, natural walls and underground mine tunnels can indicate serious structural integrity issues that threaten the safety of the structure and people in the…
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Dorian Tsai, Peter Corke, Thierry Peynot +1
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail. Light-field cameras allow us t…
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi, Jake Bruce, Thierry Peynot +1
When learning behavior, training data is often generated by the learner itself; this can result in unstable training dynamics, and this problem has particularly important applicati…
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
Fan Zeng, Adam Jacobson, David Smith +3
A key capability for autonomous underground mining vehicles is real-time accurate localisation. While significant progress has been made, currently deployed systems have several li…
Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion
Dorian Tsai, Donald G Dansereau, Thierry Peynot +1
Robots must reliably interact with refractive objects in many applications; however, refractive objects can cause many robotic vision algorithms to become unreliable or even fail,…