https://github.com/ashu1069/perceptual-piercing
공식 코드Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Papers with Code 아카이브
Autonomous Driving
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Autonomous driving is the task of driving a vehicle without human conduction.
Many of the state-of-the-art results can be found at more general task pages such as 3D Object Detection and Semantic Segmentation.
<span style="color:grey; opacity: 0.5">(Image credit: Exploring the Limitations of Behavior Cloning for Autonomous Driving)</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ast-fortiss-tum/misbehaviour-prediction-with-uncertainty-quantification
공식 코드Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
https://github.com/astra-vision/PaSCo
공식 코드PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
https://github.com/astra-vision/SceneRF
공식 코드SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
https://github.com/atapour/temporal-depth-segmentation
공식 코드https://github.com/atonderski/neuro-ncap
공식 코드NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
https://github.com/auto-pilot/obstacle-avoidance
공식 코드Autonomous Driving Implementation in an Experimental Environment
https://github.com/autonomousdrivingexaminer/mats-gym
공식 코드Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
https://github.com/autonomousvehiclelaboratory/semvecnet
공식 코드SemVecNet: Generalizable Vector Map Generation for Arbitrary Sensor Configurations
https://github.com/autonomousvision/CaRL
공식 코드CaRL: Learning Scalable Planning Policies with Simple Rewards
https://github.com/autonomousvision/carla_garage
공식 코드https://github.com/autonomousvision/navsim
공식 코드NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
https://github.com/autonomousvision/neat
공식 코드NEAT: Neural Attention Fields for End-to-End Autonomous Driving
https://github.com/autonomousvision/transfuser
공식 코드Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
https://github.com/autovision-cloud/ssl-lanes
공식 코드SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
https://github.com/av-lab/emt-dataset
공식 코드EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region
https://github.com/aveeslab/r-tod
공식 코드R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving
https://github.com/avikj/l4dc-mpc-ocd
공식 코드https://github.com/avishags422/phantomsponges
공식 코드Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
https://github.com/ayesha-ishaq/drivelmm-o1
공식 코드https://github.com/ayesha-ishaq/open3dtrack
공식 코드Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking
https://github.com/bark-simulator/bark
공식 코드Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
https://github.com/bark-simulator/bark-ml
공식 코드Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving
https://github.com/barrybarry-smith/driv3r
공식 코드Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving
https://github.com/batuceng/diffusion-layer-robustness-pc
공식 코드PCLD: Point Cloud Layerwise Diffusion for Adversarial Purification
https://github.com/baumanndominik/ergodic_rl
공식 코드Reinforcement learning with non-ergodic reward increments: robustness via ergodicity transformations
https://github.com/bchimagine/DeepPredictiveMotionTracking
공식 코드Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging
https://github.com/bcv-uniandes/stride
공식 코드STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
https://github.com/bdd100k/bdd100k
공식 코드BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
https://github.com/bdvisl/driveinsight
공식 코드https://github.com/benatfroemming/REU-2024-Lane-Following
공식 코드Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated Vehicles
https://github.com/benbergner/ips
공식 코드Iterative Patch Selection for High-Resolution Image Recognition
https://github.com/bender97/waffleandrange
공식 코드https://github.com/bethgelab/imagecorruptions
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bethgelab/mmdetection
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
https://github.com/bethgelab/robust-detection-benchmark
공식 코드Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.