Behavioral intention prediction in driving scenes: A survey
In driving scenes, road agents often engage in frequent interaction and strive to understand
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
their surroundings. Ego-agent (each road agent itself) predicts what behavior will be …
Vision-based uneven bev representation learning with polar rasterization and surface estimation
In this work, we propose PolarBEV for vision-based uneven BEV representation learning. To
adapt to the foreshortening effect of camera imaging, we rasterize the BEV space both …
adapt to the foreshortening effect of camera imaging, we rasterize the BEV space both …
Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries
3D perception tasks, such as 3D object detection and Bird's-Eye-View (BEV) segmentation
using multi-camera images, have drawn significant attention recently. Despite the fact that …
using multi-camera images, have drawn significant attention recently. Despite the fact that …
Predicting Bird's-Eye-View Semantic Representations Using Correlated Context Learning
We redefine the concept of bird's-eye-view (BEV) imaging for machine cognition tasks,
emphasizing its power as an image interpretation tool. Humans intuitively translate two …
emphasizing its power as an image interpretation tool. Humans intuitively translate two …
Predicting Maps Using In-Vehicle Cameras for Data-Driven Intelligent Transport
Z Ma, Y Zhang, M Han - Electronics, 2023 - mdpi.com
Bird's eye view (BEV) semantic maps have evolved into a crucial element of urban intelligent
traffic management and monitoring, offering invaluable visual and significant data …
traffic management and monitoring, offering invaluable visual and significant data …
Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view Images
World-wide detailed 2D maps require enormous collective efforts. OpenStreetMap is the
result of 11 million registered users manually annotating the GPS location of over 1.75 …
result of 11 million registered users manually annotating the GPS location of over 1.75 …
BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
Cross-view image matching for geo-localisation is a challenging problem due to the
significant visual difference between aerial and ground-level viewpoints. The method …
significant visual difference between aerial and ground-level viewpoints. The method …
Bird's Eye View Perception for Autonomous Driving
J Du, S Su, R Fan, Q Chen - Autonomous Driving Perception …, 2023 - Springer
Bird's eye view (BEV) perception refers to transforming a perspective view into a bird's eye
view and performing perception tasks such as 3D detection, map segmentation, and motion …
view and performing perception tasks such as 3D detection, map segmentation, and motion …