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Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding., , , , , and . Front. Neurorobot., (2019)An Accurate and Computational Efficient System for Detecting and Classifying Ego and Sides Lanes Using LiDAR., , , and . Intelligent Vehicles Symposium, page 1476-1483. IEEE, (2018)An efficient encoder-decoder CNN architecture for reliable multilane detection in real time., , , , , and . Intelligent Vehicles Symposium, page 1444-1451. IEEE, (2018)Robustness and Deployability of Deep Object Detectors in Autonomous Driving., , , , , , and . ITSC, page 4128-4133. IEEE, (2019)Performance Evaluation of Bottom-Up Saliency Models for Object Proposal Generation., , and . CRV, page 266-272. IEEE Computer Society, (2016)The role of contrast sensitivity in the development of binocular vision: A computational study., , , and . ICDL-EPIROB, page 33-38. IEEE, (2015)Reliable Multilane Detection and Classification by Utilizing CNN as a Regression Network., , , , , and . ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 740-752. Springer, (2018)A Visual Saliency Map Based on Random Sub-window Means., , and . IbPRIA, volume 6669 of Lecture Notes in Computer Science, page 33-40. Springer, (2011)Impact of Real-time Visual Attention on Computer Vision Products and Cognitive Robotics., , and . FET, volume 7 of Procedia Computer Science, page 332-333. Elsevier, (2011)Integrating habituation into saliency maps., , and . ICDL-EPIROB, page 1-2. IEEE, (2012)