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Autonomous Driving

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 6
평가표: 4
보존된 평가 기록: 23

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/dvlab-research/deepvision3d

공식 코드

A Unified Query-based Paradigm for Point Cloud Understanding

https://github.com/dystopians/secdood

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Secure On-Device Video OOD Detection Without Backpropagation

https://github.com/dyzhang09/toc3d

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Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

https://github.com/eaphan/nclr

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Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

https://github.com/earth-insights/samroadplus

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Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method

https://github.com/ebadi/scenariogenerator

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Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL

https://github.com/ec-jrc/humaint_annotator

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Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving

https://github.com/eddyhkchiu/DMSTrack

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Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter

https://github.com/eddyhkchiu/mahalanobis_3d_multi_object_tracking

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Probabilistic 3D Multi-Object Tracking for Autonomous Driving

https://github.com/edithlzh/VNL_Estimation

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RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoT

https://github.com/edodema/BestPractices2Body

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Best Practices for 2-Body Pose Forecasting

https://github.com/edwardleelpz/powerbev

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PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird's-Eye View

https://github.com/edwardzhou130/PolarSeg

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PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

https://github.com/eerdil/task_agnostic_ood

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Task-agnostic Out-of-Distribution Detection Using Kernel Density Estimation

https://github.com/eerik98/lidar-camera-road-autolabeling

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Trajectory-based Road Autolabeling with Lidar-Camera Fusion in Winter Conditions

https://github.com/elahedlv/confidence_aware_il

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CARIL: Confidence-Aware Regression in Imitation Learning for Autonomous Driving

https://github.com/eleurent/highway-env

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Understanding and Mitigating the Limitations of Prioritized Experience Replay

https://github.com/eleurent/rl-agents

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Budgeted Reinforcement Learning in Continuous State Space

https://github.com/elharroussomar/awesome-panoptic-segmentation

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Panoptic Segmentation: A Review

https://github.com/elnino9ykl/WildPASS

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Capturing Omni-Range Context for Omnidirectional Segmentation

https://github.com/emerge-lab/nocturne_lab

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Human-compatible driving partners through data-regularized self-play reinforcement learning

https://github.com/emi-group/evoxbench

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A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation

https://github.com/emzucas/minidrive

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MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving

https://github.com/engyasin/GAM4Traffic

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Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines

https://github.com/ensta-u2is/ldu

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Latent Discriminant deterministic Uncertainty

https://github.com/envision-research/driverecon

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DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving

https://github.com/envision-research/scale-bev

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Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting

https://github.com/eowjd0512/fisheye-calib-adapter

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Fisheye-Calib-Adapter: An Easy Tool for Fisheye Camera Model Conversion

https://github.com/epfl-ml4ed/interpretcc

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A Human-Centric Approach to Explainable AI for Personalized Education

https://github.com/equinoxxxxx/spn

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Sparse Prototype Network for Explainable Pedestrian Behavior Prediction

https://github.com/er-muyue/bemapnet

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End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve

https://github.com/erasmo1015/vte

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On Learning Informative Trajectory Embeddings for Imitation, Classification and Regression

https://github.com/erbloo/raan

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Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Point Density Level Estimation

https://github.com/erbloo/wAP_feature_squeezing

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Weighted Average Precision: Adversarial Example Detection in the Visual Perception of Autonomous Vehicles

https://github.com/erfanaasi/unmarked_crosswalk_carla_scenario

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Classification of Time-Series Data Using Boosted Decision Trees

https://github.com/erosinho13/ladd

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Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning

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