{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"End-to-end-Autonomous-Driving","owner":"OpenDriveLab","isFork":false,"description":"[IEEE T-PAMI] All you need for End-to-end Autonomous Driving","allTopics":["simulation","autonomous-driving","policy-learning","end-to-end-autonomous-driving"],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":1827,"forksCount":178,"license":"MIT License","participation":[1,0,2,0,0,0,0,0,1,0,0,0,0,0,0,0,2,5,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-29T10:02:02.013Z"}},{"type":"Public","name":"DriveLM","owner":"OpenDriveLab","isFork":false,"description":"[ECCV 2024] DriveLM: Driving with Graph Visual Question Answering","allTopics":["autonomous-driving","vision-language","large-language-models","llm","prompt-engineering","prompting","chain-of-thought","tree-of-thoughts","graph-of-thoughts"],"primaryLanguage":{"name":"HTML","color":"#e34c26"},"pullRequestCount":0,"issueCount":5,"starsCount":739,"forksCount":46,"license":"Apache License 2.0","participation":[1,8,35,148,49,8,1,0,0,0,0,0,0,0,0,0,0,0,3,0,15,0,0,8,3,0,0,0,0,0,38,5,9,33,3,4,5,2,12,2,3,0,0,0,0,0,3,6,1,3,3,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-26T11:16:39.323Z"}},{"type":"Public","name":"LaneSegNet","owner":"OpenDriveLab","isFork":false,"description":"[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving","allTopics":["autonomous-driving","topology-reasoning","online-mapping","lane-segment","laneline-detection"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":240,"forksCount":26,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-19T08:36:55.590Z"}},{"type":"Public","name":"OccNet","owner":"OpenDriveLab","isFork":false,"description":"[ICCV 2023] OccNet: Scene as Occupancy","allTopics":["autonomous-driving","3d-object-detection","3d-occupancy"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":20,"starsCount":533,"forksCount":48,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,14,3,3,6,0,6,3,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-19T08:33:05.192Z"}},{"type":"Public","name":"OpenLane-V2","owner":"OpenDriveLab","isFork":false,"description":"[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving","allTopics":["3d-lane-detection","topology-reasoning","traffic-element-recognition"],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":0,"issueCount":3,"starsCount":524,"forksCount":61,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-19T03:35:50.660Z"}},{"type":"Public","name":"UniAD","owner":"OpenDriveLab","isFork":false,"description":"[CVPR'23 Best Paper Award] Planning-oriented Autonomous Driving","allTopics":["motion-planning","autonomous-driving","multi-object-tracking","occupancy-prediction","motion-prediction","autonomous-driving-framework","end-to-end-autonomous-driving","perception-prediction-planning","bev-segmentation"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":64,"starsCount":3174,"forksCount":344,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-16T11:27:02.935Z"}},{"type":"Public","name":"MPI","owner":"OpenDriveLab","isFork":false,"description":"[RSS 2024] Learning Manipulation by Predicting Interaction","allTopics":["robot-manipulation","pre-training","policy-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":69,"forksCount":0,"license":"MIT License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,14,0,1,0,0,2,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-13T09:15:23.064Z"}},{"type":"Public","name":"opendrivelab.github.io","owner":"OpenDriveLab","isFork":false,"description":"","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":0,"issueCount":0,"starsCount":1,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,11,3,21,2,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-12T14:14:58.825Z"}},{"type":"Public","name":"DriveAGI","owner":"OpenDriveLab","isFork":false,"description":"[Incl. GenAD, CVPR 2024 Highlight] Embracing Foundation Models into Autonomous Agent and System","allTopics":["autonomous-driving","general-artificial-intelligence","embodied-ai","policy-learning","foundation-model"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":5,"starsCount":488,"forksCount":17,"license":"Apache License 2.0","participation":[1,0,0,2,0,0,0,0,0,0,0,0,0,0,1,13,0,0,4,2,3,1,0,0,2,7,1,0,0,0,0,0,14,14,4,2,0,2,0,0,5,0,6,0,0,0,0,0,0,5,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-07-10T13:59:27.376Z"}},{"type":"Public","name":"ViDAR","owner":"OpenDriveLab","isFork":false,"description":"[CVPR 2024 Highlight] Visual Point Cloud Forecasting","allTopics":["autonomous-driving","pre-training","point-cloud-forecasting","world-model"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":7,"starsCount":243,"forksCount":17,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,15,1,0,4,3,6,4,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-24T02:28:03.893Z"}},{"type":"Public","name":"Vista","owner":"OpenDriveLab","isFork":false,"description":"A Generalizable World Model for Autonomous Driving","allTopics":["autonomous-driving","video-generation","world-model"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":9,"starsCount":419,"forksCount":22,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-17T13:57:53.513Z"}},{"type":"Public","name":"mpi.github.io","owner":"OpenDriveLab","isFork":false,"description":"Project Page for \"Learning Manipulation by Predicting Interaction\" which has accepted by RSS 2024","allTopics":[],"primaryLanguage":{"name":"JavaScript","color":"#f1e05a"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":0,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,3,4,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-04T02:49:31.413Z"}},{"type":"Public","name":"OpenScene","owner":"OpenDriveLab","isFork":false,"description":"3D Occupancy Prediction Benchmark in Autonomous Driving","allTopics":["autonomous-driving","foundation-model","3d-occupancy"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":279,"forksCount":20,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-27T05:13:32.761Z"}},{"type":"Public","name":"ELM","owner":"OpenDriveLab","isFork":false,"description":"[ECCV 2024] Embodied Understanding of Driving Scenarios","allTopics":["autonomous-driving","vision-language-model","end-to-end-driving"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":120,"forksCount":7,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-05-09T02:42:50.615Z"}},{"type":"Public","name":"TopoNet","owner":"OpenDriveLab","isFork":false,"description":"Topology Reasoning for Scene Perception in Autonomous Driving","allTopics":["centerline-detection","autonomous-driving","traffic-element-recognition","road-topology"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":259,"forksCount":10,"license":"Apache License 2.0","participation":[0,0,0,2,5,0,0,0,0,0,0,3,1,0,1,0,0,1,1,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-30T02:05:27.250Z"}},{"type":"Public","name":"LightwheelOcc","owner":"OpenDriveLab","isFork":false,"description":"LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving","allTopics":[],"primaryLanguage":{"name":"Cuda","color":"#3A4E3A"},"pullRequestCount":0,"issueCount":2,"starsCount":64,"forksCount":3,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,2,7,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-04-28T06:18:29.772Z"}},{"type":"Public","name":"CVPR2024Challenge_Assets","owner":"OpenDriveLab","isFork":false,"description":"Assets for Competition Servers on Huggingface","allTopics":[],"primaryLanguage":null,"pullRequestCount":0,"issueCount":0,"starsCount":4,"forksCount":0,"license":null,"participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-26T04:22:01.171Z"}},{"type":"Public","name":"ThinkTwice","owner":"OpenDriveLab","isFork":false,"description":"[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.","allTopics":["carla-simulator","end-to-end-autonomous-driving"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":191,"forksCount":18,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-03-04T15:48:52.113Z"}},{"type":"Public","name":"DriveAdapter","owner":"OpenDriveLab","isFork":false,"description":"[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":174,"forksCount":14,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-11T05:57:13.772Z"}},{"type":"Public","name":"Birds-eye-view-Perception","owner":"OpenDriveLab","isFork":false,"description":"[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving","allTopics":["autonomous-driving","lidar-detection","birds-eye-view","perception-algorithm","camera-detection"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":2,"starsCount":1136,"forksCount":96,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-01-06T14:50:31.330Z"}},{"type":"Public","name":"maskalign","owner":"OpenDriveLab","isFork":false,"description":"[CVPR 2023] Official repository for paper \"Stare at What You See: Masked Image Modeling without Reconstruction\"","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":0,"starsCount":62,"forksCount":5,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:12:44.090Z"}},{"type":"Public","name":"PersFormer_3DLane","owner":"OpenDriveLab","isFork":false,"description":"[ECCV2022 Oral] Perspective Transformer on 3D Lane Detection","allTopics":["autonomous-driving","lane-detection","3d-lane-detection","computer-vision","deep-learning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":18,"starsCount":417,"forksCount":75,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:12:25.129Z"}},{"type":"Public","name":"PPGeo","owner":"OpenDriveLab","isFork":false,"description":"[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.","allTopics":["self-supervised-learning","policy-learning","end-to-end-autonomous-driving"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":3,"starsCount":114,"forksCount":7,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:12:11.313Z"}},{"type":"Public","name":"Openpilot-Deepdive","owner":"OpenDriveLab","isFork":false,"description":"Our insights of Openpilot, a deepdive project on it","allTopics":["end-to-end-autonomous-driving","perception-algorithm","planning-and-control"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":4,"starsCount":210,"forksCount":63,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:11:52.796Z"}},{"type":"Public","name":"HDGT","owner":"OpenDriveLab","isFork":false,"description":"[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction","allTopics":["autonomous-driving","motion-prediction","waymo-challenge"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":1,"starsCount":101,"forksCount":10,"license":null,"participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:11:23.189Z"}},{"type":"Public","name":"ST-P3","owner":"OpenDriveLab","isFork":false,"description":"[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.","allTopics":["end-to-end-autonomous-driving","perception-prediction-planning"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":12,"starsCount":286,"forksCount":35,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:10:50.248Z"}},{"type":"Public","name":"OpenLane","owner":"OpenDriveLab","isFork":false,"description":"[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset","allTopics":["autonomous-driving","lane-detection","deep-learning","dataset"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":0,"issueCount":9,"starsCount":488,"forksCount":46,"license":"Apache License 2.0","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:10:16.615Z"}},{"type":"Public","name":"TCP","owner":"OpenDriveLab","isFork":false,"description":"[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.","allTopics":["carla-driving-simulator","end-to-end-autonomous-driving"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":0,"issueCount":28,"starsCount":319,"forksCount":40,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2023-12-06T13:09:13.156Z"}}],"repositoryCount":28,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"OpenDriveLab repositories"}