Papers with Code 아카이브

Autonomous Vehicles

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 15
평가표: 1
보존된 평가 기록: 2

Autonomous vehicles is the task of making a vehicle that can guide itself 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: 0.6">( Image credit: GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/AnnnnnieZhang/M3D

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M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D Reconstruction

https://github.com/AnshanTJU/FILD

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Fast and Incremental Loop Closure Detection Using Proximity Graphs

https://github.com/ApolloAuto/apollo

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Baidu Apollo EM Motion Planner

https://github.com/ApolloScapeAuto/dataset-api

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The ApolloScape Open Dataset for Autonomous Driving and its Application

https://github.com/AugmentedDesignLab/junction-art

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Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing

https://github.com/AutoCompSysLab/DCTNet

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A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View

https://github.com/BIT-MJY/SeqOT

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SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data

https://github.com/Banconxuan/RTM3D

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RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving

https://github.com/Banconxuan/RTS3D

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RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving

https://github.com/BeipengMu/objectSLAM

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SLAM with Objects using a Nonparametric Pose Graph

https://github.com/BichenWuUCB/squeezeDet

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SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

https://github.com/BillChan226/AgentPoison

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AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

https://github.com/BillOuyang/3D-OGFlow

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Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds

https://github.com/Blessinglrq/TPNMS

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Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision

https://github.com/BlueCat-de/SDM

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Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving

https://github.com/Bob-cheng/DepthModelHardening

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Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks

https://github.com/Bob-cheng/MDE_Attack

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Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

https://github.com/Boshrakh/Yolov8-Small-Object-Detection-Arial-Images

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SOD-YOLOv8 -- Enhancing YOLOv8 for Small Object Detection in Traffic Scenes

https://github.com/BraunGe/TSR-Dataset-Data-Augmentation

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Traffic Sign Recognition Dataset and Data Augmentation

https://github.com/Brazilian-Institute-of-Robotics/autonomous_perception

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Low-latency Perception in Off-Road Dynamical Low Visibility Environments

https://github.com/BubblyYi/MMPedestron

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When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset

https://github.com/CAIC-AD/YOLOPv2

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YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

https://github.com/CAMMA-public/ai4surgery

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Artificial Intelligence in Surgery: Neural Networks and Deep Learning

https://github.com/CEA-LIST/AD-RobustnessEval

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Evaluating Robustness over High Level Driving Instruction for Autonomous Driving

https://github.com/CHENGEZ/Attacking-by-Aligning

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Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection

https://github.com/CHENGY12/CausalHTP

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Human Trajectory Prediction via Counterfactual Analysis

https://github.com/CIRLMDP/CIRL

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Inverse Reinforcement Learning in Contextual MDPs

https://github.com/CMVS-Lab/SAC-Residual-Fusion-CARLA

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Autonomous Driving using Residual Sensor Fusion and Deep Reinforcement Learning

https://github.com/CN-TU/ids-backdoor

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Walling up Backdoors in Intrusion Detection Systems

https://github.com/CPFL/Autoware

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LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR

https://github.com/CVLAB-Unibo/Learning2AdaptForStereo

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Learning to Adapt for Stereo

https://github.com/CalayZhou/MBNet

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Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems

https://github.com/CapsuleEndoscope/EndoSLAM

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EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

https://github.com/Cedarch/M3Net

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M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving

https://github.com/Chengxiao-Luo/Untargeted-Backdoor-Attack-against-Object-Detection

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Untargeted Backdoor Attack against Object Detection

https://github.com/Chengyuan-Zhang/Gaussian_Velocity_Field

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A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.