Publication Information

{'id': 'https://openalex.org/W4226444630', 'doi': 'https://doi.org/10.1109/tits.2022.3164391', 'title': 'A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree', 'display_name': 'A Novel Direct Trajectory Planning Approach Based on Generative Adversarial Networks and Rapidly-Exploring Random Tree', 'publication_year': 2022, 'publication_date': '2022-04-13', 'ids': {'openalex': 'https://openalex.org/W4226444630', 'doi': 'https://doi.org/10.1109/tits.2022.3164391'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tits.2022.3164391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S144771191', 'display_name': 'IEEE Transactions on Intelligent Transportation Systems', 'issn_l': '1524-9050', 'issn': ['1524-9050', '1558-0016'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://pure.tue.nl/ws/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5002189030', 'display_name': 'Cong Zhao', 'orcid': 'https://orcid.org/0000-0002-1017-9118'}, 'institutions': [{'id': 'https://openalex.org/I116953780', 'display_name': 'Tongji University', 'ror': 'https://ror.org/03rc6as71', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I116953780']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Cong Zhao', 'raw_affiliation_strings': ['Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China'], 'affiliations': [{'raw_affiliation_string': 'Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China', 'institution_ids': ['https://openalex.org/I116953780']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5046251663', 'display_name': 'Yifan Zhu', 'orcid': 'https://orcid.org/0000-0002-5929-378X'}, 'institutions': [{'id': 'https://openalex.org/I116953780', 'display_name': 'Tongji University', 'ror': 'https://ror.org/03rc6as71', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I116953780']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yifan Zhu', 'raw_affiliation_strings': ['Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China'], 'affiliations': [{'raw_affiliation_string': 'Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China', 'institution_ids': ['https://openalex.org/I116953780']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5004514343', 'display_name': 'Yuchuan Du', 'orcid': 'https://orcid.org/0000-0002-8497-3402'}, 'institutions': [{'id': 'https://openalex.org/I116953780', 'display_name': 'Tongji University', 'ror': 'https://ror.org/03rc6as71', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I116953780']}], 'countries': ['CN'], 'is_corresponding': False, 'raw_author_name': 'Yuchuan Du', 'raw_affiliation_strings': ['Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China'], 'affiliations': [{'raw_affiliation_string': 'Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China', 'institution_ids': ['https://openalex.org/I116953780']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5048516558', 'display_name': 'Feixiong Liao', 'orcid': 'https://orcid.org/0000-0002-8911-0788'}, 'institutions': [{'id': 'https://openalex.org/I83019370', 'display_name': 'Eindhoven University of Technology', 'ror': 'https://ror.org/02c2kyt77', 'country_code': 'NL', 'type': 'education', 'lineage': ['https://openalex.org/I83019370']}], 'countries': ['NL'], 'is_corresponding': False, 'raw_author_name': 'Feixiong Liao', 'raw_affiliation_strings': ['Urban Planning Group, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands'], 'affiliations': [{'raw_affiliation_string': 'Urban Planning Group, Eindhoven University of Technology, Eindhoven, AZ, The Netherlands', 'institution_ids': ['https://openalex.org/I83019370']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5014661259', 'display_name': 'Ching‐Yao Chan', 'orcid': 'https://orcid.org/0000-0003-3992-2312'}, 'institutions': [], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Ching-Yao Chan', 'raw_affiliation_strings': ['California PATH, University of California at Berkeley, Berkeley, CA, USA'], 'affiliations': [{'raw_affiliation_string': 'California PATH, University of California at Berkeley, Berkeley, CA, USA', 'institution_ids': []}]}], 'institution_assertions': [], 'countries_distinct_count': 3, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 8.029, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 55, 'citation_normalized_percentile': {'value': 0.999942, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 98, 'max': 99}, 'biblio': {'volume': '23', 'issue': '10', 'first_page': '17910', 'last_page': '17921'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10586', 'display_name': 'Robotic Path Planning Algorithms', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10586', 'display_name': 'Robotic Path Planning Algorithms', 'score': 1.0, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11099', 'display_name': 'Autonomous Vehicle Technology and Safety', 'score': 0.9991, 'subfield': {'id': 'https://openalex.org/subfields/2203', 'display_name': 'Automotive Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10191', 'display_name': 'Robotics and Sensor-Based Localization', 'score': 0.9974, 'subfield': {'id': 'https://openalex.org/subfields/2202', 'display_name': 'Aerospace Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/random-tree', 'display_name': 'Random tree', 'score': 0.6488582}, {'id': 'https://openalex.org/keywords/tree', 'display_name': 'Tree (set theory)', 'score': 0.4948699}, {'id': 'https://openalex.org/keywords/position', 'display_name': 'Position (finance)', 'score': 0.41438892}], 'concepts': [{'id': 'https://openalex.org/C13662910', 'wikidata': 'https://www.wikidata.org/wiki/Q193139', 'display_name': 'Trajectory', 'level': 2, 'score': 0.7526711}, {'id': 'https://openalex.org/C81074085', 'wikidata': 'https://www.wikidata.org/wiki/Q366872', 'display_name': 'Motion planning', 'level': 3, 'score': 0.6633283}, {'id': 'https://openalex.org/C2776839635', 'wikidata': 'https://www.wikidata.org/wiki/Q14942679', 'display_name': 'Random tree', 'level': 4, 'score': 0.6488582}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.63010097}, {'id': 'https://openalex.org/C113174947', 'wikidata': 'https://www.wikidata.org/wiki/Q2859736', 'display_name': 'Tree (set theory)', 'level': 2, 'score': 0.4948699}, {'id': 'https://openalex.org/C126255220', 'wikidata': 'https://www.wikidata.org/wiki/Q141495', 'display_name': 'Mathematical optimization', 'level': 1, 'score': 0.4461426}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.436027}, {'id': 'https://openalex.org/C198082294', 'wikidata': 'https://www.wikidata.org/wiki/Q3399648', 'display_name': 'Position (finance)', 'level': 2, 'score': 0.41438892}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.3679964}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.32492682}, {'id': 'https://openalex.org/C90509273', 'wikidata': 'https://www.wikidata.org/wiki/Q11012', 'display_name': 'Robot', 'level': 2, 'score': 0.28803766}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.20279971}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C10138342', 'wikidata': 'https://www.wikidata.org/wiki/Q43015', 'display_name': 'Finance', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C1276947', 'wikidata': 'https://www.wikidata.org/wiki/Q333', 'display_name': 'Astronomy', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C162324750', 'wikidata': 'https://www.wikidata.org/wiki/Q8134', 'display_name': 'Economics', 'level': 0, 'score': 0.0}], 'mesh': [], 'locations_count': 3, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/tits.2022.3164391', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S144771191', 'display_name': 'IEEE Transactions on Intelligent Transportation Systems', 'issn_l': '1524-9050', 'issn': ['1524-9050', '1558-0016'], 'is_oa': False, 'is_in_doaj': False, 'is_core': True, 'host_organization': 'https://openalex.org/P4310319808', 'host_organization_name': 'Institute of Electrical and Electronics Engineers', 'host_organization_lineage': ['https://openalex.org/P4310319808'], 'host_organization_lineage_names': ['Institute of Electrical and Electronics Engineers'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'https://pure.tue.nl/ws/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'pdf_url': 'https://pure.tue.nl/ws/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'source': None, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, {'is_oa': True, 'landing_page_url': 'https://research.tue.nl/en/publications/8d96ead4-c867-4869-981b-de2b40942d7a', 'pdf_url': 'https://research.tue.nl/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'source': None, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://pure.tue.nl/ws/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'pdf_url': 'https://pure.tue.nl/ws/files/226380906/A_Novel_Direct_Trajectory_Planning_Approach_Based_on_Generative_Adversarial_Networks_and_Rapidly_Exploring_Random_Tree.pdf', 'source': None, 'license': 'other-oa', 'license_id': 'https://openalex.org/licenses/other-oa', 'version': 'publishedVersion', 'is_accepted': True, 'is_published': True}, 'sustainable_development_goals': [], 'grants': [{'funder': 'https://openalex.org/F4320321543', 'funder_display_name': 'China Postdoctoral Science Foundation', 'award_id': '2021M692428'}, {'funder': 'https://openalex.org/F4320321881', 'funder_display_name': 'Shanghai Municipal Education Commission', 'award_id': '2021-01-07-00-07-E00092'}], 'datasets': [], 'versions': [], 'referenced_works_count': 32, 'referenced_works': ['https://openalex.org/W131069610', 'https://openalex.org/W1971998222', 'https://openalex.org/W1977085960', 'https://openalex.org/W2058784782', 'https://openalex.org/W2070441351', 'https://openalex.org/W2121878725', 'https://openalex.org/W2154844948', 'https://openalex.org/W2159674323', 'https://openalex.org/W2174765655', 'https://openalex.org/W2313274380', 'https://openalex.org/W2414947275', 'https://openalex.org/W2559767995', 'https://openalex.org/W2571951456', 'https://openalex.org/W2605944550', 'https://openalex.org/W2794029453', 'https://openalex.org/W2889315996', 'https://openalex.org/W2897079667', 'https://openalex.org/W2910095622', 'https://openalex.org/W2913416895', 'https://openalex.org/W2944753156', 'https://openalex.org/W2946231253', 'https://openalex.org/W2947207002', 'https://openalex.org/W2948769381', 'https://openalex.org/W2963645756', 'https://openalex.org/W3004699778', 'https://openalex.org/W3011646207', 'https://openalex.org/W3089105444', 'https://openalex.org/W3096831136', 'https://openalex.org/W3135872801', 'https://openalex.org/W3166361176', 'https://openalex.org/W3210701025', 'https://openalex.org/W3215110309'], 'related_works': ['https://openalex.org/W4388720133', 'https://openalex.org/W3158818664', 'https://openalex.org/W2863424594', 'https://openalex.org/W2797949337', 'https://openalex.org/W2564325388', 'https://openalex.org/W2372633663', 'https://openalex.org/W2118356379', 'https://openalex.org/W2108906364', 'https://openalex.org/W1991478428', 'https://openalex.org/W1987694097'], 'abstract_inverted_index': {'Trajectory': [0], 'planning': [1, 18, 45, 92, 174], 'is': [2, 85, 141], 'essential': [3], 'for': [4, 11, 88, 176], 'self-driving': [5, 178], 'vehicles': [6], 'and': [7, 13, 28, 41, 66, 90, 152, 162, 170], 'has': [8], 'stringent': [9], 'requirements': [10], 'accuracy': [12], 'efficiency.': [14, 30], 'The': [15, 112], 'existing': [16], 'trajectory': [17, 44, 173], 'methods': [19], 'have': [20], 'limitations': [21], 'in': [22, 106, 124, 158], 'the': [23, 63, 67, 74, 77, 95, 103, 117, 130, 135, 144, 156], 'feasibility': [24], 'of': [25, 147, 160], 'planned': [26], 'trajectories': [27, 123], 'computational': [29], 'This': [31, 165], 'paper': [32, 166], 'proposes': [33], 'a': [34, 57, 82, 125], 'life-long': [35], 'learning': [36], 'framework': [37], 'to': [38, 61], 'achieve': [39], 'effective': [40, 169], 'high-accuracy': [42], 'direct': [43], '(DTP)': [46], 'tasks.': [47, 93, 179], 'Based': [48], 'on': [49], 'generative': [50], 'adversarial': [51], 'networks': [52], '(GANs),': [53], 'this': [54], 'study': [55], 'develops': [56], 'lightweight': [58], 'GDTP': [59, 75], 'model': [60], 'map': [62], 'initial/final': [64], 'states': [65], 'control': [68], 'action': [69], 'sequence.': [70], 'Additionally,': [71], 'by': [72], 'embedding': [73], 'into': [76], 'rapidly-exploring': [78], 'random': [79], 'tree': [80], '(RRT),': [81], 'GDTP-RRT': [83], 'algorithm': [84, 133], 'further': [86], 'designed': [87], 'long-distance': [89], 'multi-stage': [91], 'Taking': [94], 'tractor-trailer': [96], 'as': [97], 'an': [98, 168], 'application': [99], 'case,': [100], 'we': [101], 'test': [102], 'proposed': [104], 'method': [105, 118, 149, 175], 'multiple': [107], 'scenarios': [108], 'with': [109, 129], 'varying': [110], 'characteristics.': [111], 'experimental': [113], 'results': [114], 'show': [115], 'that': [116, 143], 'can': [119], 'plan': [120], 'highly': [121], 'feasible': [122], 'short': [126], 'time,': [127], 'compared': [128], 'most': [131], 'applied': [132], '–': [134], 'cubic': [136], 'curve': [137], 'RRT*': [138], '(CCRRT*).': [139], 'It': [140], 'found': [142], 'tracking': [145], 'errors': [146], 'our': [148], 'are': [150], '29.1%': [151], '44.1%': [153], 'lower': [154], 'than': [155], 'CCRRT*': [157], 'terms': [159], 'position': [161], 'heading': [163], 'angle.': [164], 'provides': [167], 'stable': [171], 'vehicle': [172], 'complex': [177]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W4226444630', 'counts_by_year': [{'year': 2024, 'cited_by_count': 17}, {'year': 2023, 'cited_by_count': 26}, {'year': 2022, 'cited_by_count': 11}], 'updated_date': '2025-01-07T16:31:02.762593', 'created_date': '2022-05-05'}