{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:31:38Z","timestamp":1750221098388,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,12,18]],"date-time":"2018-12-18T00:00:00Z","timestamp":1545091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,12,18]]},"DOI":"10.1145\/3293353.3293357","type":"proceedings-article","created":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T22:07:32Z","timestamp":1588630052000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Vision-based Steering Angle Prediction by the Fusion of Depth and Intensity Deep Features"],"prefix":"10.1145","author":[{"given":"Vijay","family":"John","sequence":"first","affiliation":[{"name":"Toyota Technological Institute, Japan"}]},{"given":"Swarn Singh","family":"Rathour","sequence":"additional","affiliation":[{"name":"Toyota Technological Institute, Japan"}]},{"given":"Seiichi","family":"Mita","sequence":"additional","affiliation":[{"name":"Toyota Technological Institute, Japan"}]},{"given":"Hossein","family":"Tehrani","sequence":"additional","affiliation":[{"name":"DENSO CORPORATION, Japan"}]},{"given":"Kazuhisa","family":"Ishimaru","sequence":"additional","affiliation":[{"name":"SOKEN INC. Japan"}]},{"given":"Masataka","family":"Konishi","sequence":"additional","affiliation":[{"name":"DENSO CORPORATION, Japan"}]},{"given":"Hakusho","family":"Chin","sequence":"additional","affiliation":[{"name":"DENSO CORPORATION, Japan"}]}],"member":"320","published-online":{"date-parts":[[2020,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2016. Udacity Self-driving Dataset. https:\/\/github.com\/udacity\/self-driving-car\/  2016. Udacity Self-driving Dataset. https:\/\/github.com\/udacity\/self-driving-car\/"},{"volume-title":"NIPS Workshop.","author":"El E. Perot A.","key":"e_1_3_2_1_2_1","unstructured":"E. Perot A. El Sallab1, M. Abdou1 and S. Yogamani . 2016. Deep Reinforcement Learning framework for Autonomous Driving . In NIPS Workshop. E. Perot A. El Sallab1, M. Abdou1 and S. Yogamani. 2016. Deep Reinforcement Learning framework for Autonomous Driving. In NIPS Workshop."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"M. Al-Qizwini I. Barjasteh H. Al-Qassab and H. Radha. 2017. Deep Learning Algorithm for Autonomous Driving using GoogLeNet. In IV.  M. Al-Qizwini I. Barjasteh H. Al-Qassab and H. Radha. 2017. Deep Learning Algorithm for Autonomous Driving using GoogLeNet. In IV.","DOI":"10.1109\/IVS.2017.7995703"},{"key":"e_1_3_2_1_4_1","volume-title":"DDD17: End-To-End DAVIS Driving Dataset. CoRR abs\/1711.01458","author":"Binas Jonathan","year":"2017","unstructured":"Jonathan Binas , Daniel Neil , Shih-Chii Liu , and Tobi Delbr\u00fcck . 2017. DDD17: End-To-End DAVIS Driving Dataset. CoRR abs\/1711.01458 ( 2017 ). Jonathan Binas, Daniel Neil, Shih-Chii Liu, and Tobi Delbr\u00fcck. 2017. DDD17: End-To-End DAVIS Driving Dataset. CoRR abs\/1711.01458 (2017)."},{"key":"e_1_3_2_1_5_1","volume-title":"Davide Del Testa","author":"Bojarski Mariusz","year":"2016","unstructured":"Mariusz Bojarski , Davide Del Testa , Daniel Dworakowski, Bernhard Firner , Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016 . End to End Learning for Self-Driving Cars. CoRR abs\/1604.07316 (2016). Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. CoRR abs\/1604.07316 (2016)."},{"key":"e_1_3_2_1_6_1","volume-title":"LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"Chen Yiping","year":"2018","unstructured":"Yiping Chen , Jingkang Wang , Jonathan Li , Cewu Lu , Zhipeng Luo , Han Xue , and Cheng Wang . 2018 . LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Yiping Chen, Jingkang Wang, Jonathan Li, Cewu Lu, Zhipeng Luo, Han Xue, and Cheng Wang. 2018. LiDAR-Video Driving Dataset: Learning Driving Policies Effectively. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)."},{"key":"e_1_3_2_1_7_1","volume-title":"Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. CoRR abs\/1708.03798","author":"Chi Lu","year":"2017","unstructured":"Lu Chi and Yadong Mu . 2017 . Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. CoRR abs\/1708.03798 (2017). Lu Chi and Yadong Mu. 2017. Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues. CoRR abs\/1708.03798 (2017)."},{"key":"e_1_3_2_1_8_1","unstructured":"O. Danut A. Rogozan F. Nashashibi and A. Bensrhair. 2017. Fusion of stereo vision for pedestrian recognition using convolutional neural networks. In ESANN.  O. Danut A. Rogozan F. Nashashibi and A. Bensrhair. 2017. Fusion of stereo vision for pedestrian recognition using convolutional neural networks. In ESANN."},{"key":"e_1_3_2_1_9_1","volume-title":"Technical Report CS231-626. Department of Computer Science","author":"Du S.","year":"2017","unstructured":"S. Du , H. Guo , and A. Simpson . 2017 . Self-Driving Car Steering Angle Prediction Based on Image Recognition . Technical Report CS231-626. Department of Computer Science , Stanford University . S. Du, H. Guo, and A. Simpson. 2017. Self-Driving Car Steering Angle Prediction Based on Image Recognition. Technical Report CS231-626. Department of Computer Science, Stanford University."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Tharindu Fernando Simon Denman Sridha Sridharan and Clinton Fookes. 2017. Going deeper: Autonomous steering with neural memory networks. In CVPR.  Tharindu Fernando Simon Denman Sridha Sridharan and Clinton Fookes. 2017. Going deeper: Autonomous steering with neural memory networks. In CVPR.","DOI":"10.1109\/ICCVW.2017.34"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","unstructured":"Saurabh Gupta Ross Girshick Pablo Arbel\u00c2t'aez and Jitendra Malik1. 2014. Learning Rich Features from RGB-D Images for Object Detection and Segmentation. In ECCV.  Saurabh Gupta Ross Girshick Pablo Arbel\u00c2t'aez and Jitendra Malik1. 2014. Learning Rich Features from RGB-D Images for Object Detection and Segmentation. In ECCV.","DOI":"10.1007\/978-3-319-10584-0_23"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Caner Hazirbas Lingni Ma Csaba Domokos and Daniel Cremers. 2017. FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture.  Caner Hazirbas Lingni Ma Csaba Domokos and Daniel Cremers. 2017. FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture.","DOI":"10.1007\/978-3-319-54181-5_14"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"C. Hubschneider A. Bauer J. Doll M. Weber S. Klemm F. Kuhnt and M. Zollner. 2017. Integrating End-to-End Learned Steering into Probabilistic Autonomous Driving. In ITSC.  C. Hubschneider A. Bauer J. Doll M. Weber S. Klemm F. Kuhnt and M. Zollner. 2017. Integrating End-to-End Learned Steering into Probabilistic Autonomous Driving. In ITSC.","DOI":"10.1109\/ITSC.2017.8317873"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"V. John S. Mita H. Tehrani and K. Ishimaru. 2017. Automated Driving by Monocular Camera Using Deep Mixture of Experts. In IV.  V. John S. Mita H. Tehrani and K. Ishimaru. 2017. Automated Driving by Monocular Camera Using Deep Mixture of Experts. In IV.","DOI":"10.1109\/IVS.2017.7995709"},{"key":"e_1_3_2_1_15_1","unstructured":"A. Krizhevsky I. Sutskever and G. Hinton. 2012. Imagenet classification with deep convolutional neural networks. In NIPS.  A. Krizhevsky I. Sutskever and G. Hinton. 2012. Imagenet classification with deep convolutional neural networks. In NIPS."},{"key":"e_1_3_2_1_16_1","unstructured":"Zhen Li Yukang Gan Xiaodan Liang Yizhou Yu Hui Cheng and Liang Lin. 2016. LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. In ECCV.  Zhen Li Yukang Gan Xiaodan Liang Yizhou Yu Hui Cheng and Liang Lin. 2016. LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling. In ECCV."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.127"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"A. Mahendran and A. Vedaldi. 2016. Visualizing deep convolutional neural networks using natural pre-images. International Journal of Computer Vision (2016).  A. Mahendran and A. Vedaldi. 2016. Visualizing deep convolutional neural networks using natural pre-images. International Journal of Computer Vision (2016).","DOI":"10.1007\/s11263-016-0911-8"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","unstructured":"Dean A. Pomerleau. 1996. Neural Network Vision for Robot Driving. In The Handbook of Brain Theory and Neural Networks.  Dean A. Pomerleau. 1996. Neural Network Vision for Robot Driving. In The Handbook of Brain Theory and Neural Networks.","DOI":"10.1007\/978-1-4615-6325-9_4"},{"key":"e_1_3_2_1_20_1","unstructured":"Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. In NIPS.  Shaoqing Ren Kaiming He Ross Girshick and Jian Sun. 2015. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. In NIPS."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"S. R. Richter V. Vineet S. Roth and V. Koltun. 2016. Playing for data: Ground truth from computer games. In ECCV.  S. R. Richter V. Vineet S. Roth and V. Koltun. 2016. Playing for data: Ground truth from computer games. In ECCV.","DOI":"10.1007\/978-3-319-46475-6_7"},{"key":"e_1_3_2_1_22_1","unstructured":"K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014).  K. Simonyan and A. Zisserman. 2014. Very Deep Convolutional Networks for Large-Scale Image Recognition. CoRR abs\/1409.1556 (2014)."},{"key":"e_1_3_2_1_23_1","unstructured":"J Wagner V. Fischer M. Herman and S. Behnke. 2016. Multispectral pedestrian detection using deep fusion convolutional neural networks. In ESANN.  J Wagner V. Fischer M. Herman and S. Behnke. 2016. Multispectral pedestrian detection using deep fusion convolutional neural networks. In ESANN."},{"key":"e_1_3_2_1_24_1","unstructured":"Bernhard Wymann Christos Dimitrakakis Andrew Sumner Eric Espi\u00e9 Christophe Guionneau and R\u00e9mi Coulom. 2013. TORCS The Open Racing Car Simulator v1.3.5. http:\/\/www.torcs.org.  Bernhard Wymann Christos Dimitrakakis Andrew Sumner Eric Espi\u00e9 Christophe Guionneau and R\u00e9mi Coulom. 2013. TORCS The Open Racing Car Simulator v1.3.5. http:\/\/www.torcs.org."},{"key":"e_1_3_2_1_25_1","unstructured":"Huazhe Xu Yang Gao Fisher Yu and Trevor Darrell. 2017. End-to-end Learning of Driving Models from Large-scale Video Datasets. (2017).  Huazhe Xu Yang Gao Fisher Yu and Trevor Darrell. 2017. End-to-end Learning of Driving Models from Large-scale Video Datasets. (2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"Kazuhisa Ishimaru, and Sakiko Nishino.","author":"Xu Yuquan","year":"2017","unstructured":"Yuquan Xu , Vijay John , Seiichi Mita , Hossein Tehrani Niknejad , Kazuhisa Ishimaru, and Sakiko Nishino. 2017 . 3D point cloud map based vehicle localization using stereo camera. In IVS. Yuquan Xu, Vijay John, Seiichi Mita, Hossein Tehrani Niknejad, Kazuhisa Ishimaru, and Sakiko Nishino. 2017. 3D point cloud map based vehicle localization using stereo camera. In IVS."},{"key":"e_1_3_2_1_27_1","unstructured":"Bolei Zhou Agata Lapedriza Jianxiong Xiao Antonio Torralba and Aude Oliva. 2014. Learning Deep Features for Scene Recognition using Places Database.. In NIPS.  Bolei Zhou Agata Lapedriza Jianxiong Xiao Antonio Torralba and Aude Oliva. 2014. Learning Deep Features for Scene Recognition using Places Database.. In NIPS."}],"event":{"name":"ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing","acronym":"ICVGIP 2018","location":"Hyderabad India"},"container-title":["Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3293353.3293357","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3293353.3293357","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:58:08Z","timestamp":1750208288000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3293353.3293357"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,18]]},"references-count":27,"alternative-id":["10.1145\/3293353.3293357","10.1145\/3293353"],"URL":"https:\/\/doi.org\/10.1145\/3293353.3293357","relation":{},"subject":[],"published":{"date-parts":[[2018,12,18]]},"assertion":[{"value":"2020-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}