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Autonomous Driving

2051 directly classified papers

Papers per year

Papers

LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection CVPR 2023
Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency CVPR 2023
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View CVPR 2023
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection CVPR 2023
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes CVPR 2023
Deep Patch Visual Odometry NIPS 2023
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NIPS 2023
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation ICCV 2023
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues NIPS 2023
Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States CORL 2023
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection NIPS 2023
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds IJCAI 2023
PowerBEV: A Powerful Yet Lightweight Framework for Instance Prediction in Bird’s-Eye View IJCAI 2023
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection NIPS 2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention IJCAI 2023
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection NIPS 2023
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection NIPS 2023
Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour CLEAR 2023
Deep Traffic Benchmark: Aerial Perception and Driven Behavior Dataset ACML 2023
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection NIPS 2023
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds NIPS 2023
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection NIPS 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders ICCV 2023
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction ICCV 2023