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/vis4rob-lab/hyperion

공식 코드

Hyperion - A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM

https://github.com/vision-agh/dvs_filtermatrixiir

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Hardware architecture for high throughput event visual data filtering with matrix of IIR filters algorithm

https://github.com/vision-agh/mmar_2023

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Detection-segmentation convolutional neural network for autonomous vehicle perception

https://github.com/vision-agh/mt_kria

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Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGA

https://github.com/vision-sjtu/lightning-nerf

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Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

https://github.com/vision4robotics/KAOT-tracker

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Keyfilter-Aware Real-Time UAV Object Tracking

https://github.com/vision4robotics/climrt

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Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking

https://github.com/visualaikhu/monowad

공식 코드

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

https://github.com/vita-epfl/SVGNet

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SVG-Net: An SVG-based Trajectory Prediction Model

https://github.com/vita-epfl/bounding-box-prediction

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Pedestrian Intention Prediction: A Multi-task Perspective

https://github.com/vita-epfl/causalmotion

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Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective

https://github.com/vita-epfl/causalsim2real

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Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations

https://github.com/vita-epfl/cim

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Causal Imitative Model for Autonomous Driving

https://github.com/vita-epfl/detection-attributes-fields

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Detecting 32 Pedestrian Attributes for Autonomous Vehicles

https://github.com/vita-epfl/gem

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GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control

https://github.com/vita-epfl/hybrid-feature-fusion

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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

https://github.com/vita-epfl/jrdb-traj

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JRDB-Traj: A Dataset and Benchmark for Trajectory Forecasting in Crowds

https://github.com/vita-epfl/looking

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Do Pedestrians Pay Attention? Eye Contact Detection in the Wild

https://github.com/vita-epfl/monoloco

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MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://github.com/vita-epfl/monstereo

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MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization

https://github.com/vita-epfl/motion-style-transfer

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Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting

https://github.com/vita-epfl/openpifpaf

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OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association

https://github.com/vita-epfl/openpifpaf_posetrack

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OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association

https://github.com/vita-epfl/pedestrian-transition-dataset

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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

https://github.com/vita-epfl/semdisc

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A Shared Representation for Photorealistic Driving Simulators

https://github.com/vita-epfl/social-nce

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Social NCE: Contrastive Learning of Socially-aware Motion Representations

https://github.com/vita-epfl/social-transmotion

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Social-Transmotion: Promptable Human Trajectory Prediction

https://github.com/vita-epfl/stay-on-track

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A Multi-Loss Strategy for Vehicle Trajectory Prediction: Combining Off-Road, Diversity, and Directional Consistency Losses

https://github.com/vita-group/dept

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Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems

https://github.com/vivianszf/stereo-waterdrop-removal

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Stereo Waterdrop Removal with Row-wise Dilated Attention

https://github.com/vllm-project/vllm

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AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

https://github.com/vobecant/DummyNet

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Artificial Dummies for Urban Dataset Augmentation

https://github.com/voldemortX/pytorch-auto-drive

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Rethinking Efficient Lane Detection via Curve Modeling

https://github.com/voodooed/LBLIS

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Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation

https://github.com/vpulab/synthmanticlidar

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SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging

https://github.com/vrund0212/calibrated-losses-for-adversarial-robust-reject-option-classification

공식 코드

Towards Calibrated Losses for Adversarial Robust Reject Option Classification

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