{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/end-to-end-learning-of-image-based-lane","title":"End-to-end Learning of Image based Lane-Change Decision","arxiv_id":"1706.08211","date":"2017-06-26","proceeding":null,"authors":["Seong-Gyun Jeong","Jiwon Kim","Sujung Kim","Jaesik Min"],"abstract":"We propose an image based end-to-end learning framework that helps\nlane-change decisions for human drivers and autonomous vehicles. The proposed\nsystem, Safe Lane-Change Aid Network (SLCAN), trains a deep convolutional\nneural network to classify the status of adjacent lanes from rear view images\nacquired by cameras mounted on both sides of the vehicle. Rather than depending\non any explicit object detection or tracking scheme, SLCAN reads the whole\ninput image and directly decides whether initiation of the lane-change at the\nmoment is safe or not. We collected and annotated 77,273 rear side view images\nto train and test SLCAN. Experimental results show that the proposed framework\nachieves 96.98% classification accuracy although the test images are from\nunseen roadways. We also visualize the saliency map to understand which part of\nimage SLCAN looks at for correct decisions.","url_abs":"http://arxiv.org/abs/1706.08211v1","url_pdf":"http://arxiv.org/pdf/1706.08211v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"end-to-end-learning-of-image-based-lane","repo_url":"https://github.com/jsgyun/SLCAN","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"autonomous-vehicles","task_name":"Autonomous Vehicles"},{"task_slug":"object-detection","task_name":"Object Detection"},{"task_slug":"object-detection-1","task_name":"object-detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}