It's not easy seeing green: Lighting-resistant stereo Visual Teach & Repeat using color-constant images
By Michael Paton, Kirk MacTavish, C. Ostafew, T. Barfoot. 2015
40 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Niko Sünderhauf
- Michael Milford
- Raia Hadsell
- Jake Bruce
- Piotr Wojciech Mirowski
- Kazuya Takeda
- Alexander Carballo
- Ekim Yurtsever
In Computer Vision and Pattern Recognition
- Niko Sünderhauf
- Michael Milford
- Piotr Wojciech Mirowski
- Raia Hadsell
- Ekim Yurtsever
- Jake Bruce
- Jacob Lambert
- Alexander Carballo
Citations in the corpus
- A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “this usually means performing image color corrections to normalize lighting conditions [200].”
- Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal (2018, background): “If approximate localisation is available, then movement throughout the graph can be handled by waypoint control; however, contributions in visual servoing [37] and teach and repeat [38] demonstrate that a purely visual solution is also possible.”
- One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay (2017, unknown): “In our setup this will likely be accomplished by a laser-based approximate localization system; however, contributions in visual servoing [30], teach and repeat [31], and image alignment techniques for robot and animal homing [32, 33] provide evidence that a purely visual solution is also possible.”