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Found 9 papers, 0 papers with code
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
In this paper, wepresent the Parking Pedestrian Dataset (PPD), a large-scale fisheye dataset to support research dealing with real-world pedestrians, especially with occlusions and diverse postures.
LineMarkNet: Line Landmark Detection for Valet Parking
We aim for accurate and efficient line landmark detection for valet parking, which is a long-standing yet unsolved problem in autonomous driving.
Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation
To address this issue, we propose a Graph-Segmenter, including a Graph Transformer and a Boundary-aware Attention module, which is an effective network for simultaneously modeling the more profound relation between windows in a global view and various pixels inside each window as a local one, and for substantial low-cost boundary adjustment.
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
During the refinement process, context-aware temporal attention (CTA) is developed to capture the global temporal-context correlations to maintain the feature consistency and estimation integrity of moving objects.
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts
Monocular 3D object detection reveals an economical but challenging task in autonomous driving.
MVFusion: Multi-View 3D Object Detection with Semantic-aligned Radar and Camera Fusion
To achieve so, we inject the semantic alignment into the radar features via the semantic-aligned radar encoder (SARE) to produce image-guided radar features.
Ranked #7 on
3D Object Detection
on nuscenes Camera-Radar
OCR-RTPS: An OCR-based real-time positioning system for the valet parking
Obtaining the position of ego-vehicle is a crucial prerequisite for automatic control and path planning in the field of autonomous driving.
Surround-view Fisheye BEV-Perception for Valet Parking: Dataset, Baseline and Distortion-insensitive Multi-task Framework
Most existing networks based on public datasets may generalize suboptimal results on these valet parking scenes, also affected by the fisheye distortion.
Disentangling and Vectorization: A 3D Visual Perception Approach for Autonomous Driving Based on Surround-View Fisheye Cameras
The 3D visual perception for vehicles with the surround-view fisheye camera system is a critical and challenging task for low-cost urban autonomous driving.
