Sparse beats dense: Rethinking supervision in radar-camera depth completion
It is widely believed that sparse supervision is worse than dense supervision in the field of
depth completion, but the underlying reasons for this are rarely discussed. To this end, we …
depth completion, but the underlying reasons for this are rarely discussed. To this end, we …
RaViDeep: Target Detection Based on Deep Fusion of Radar and Vision in Berthing Scenarios
Current radar-vision fusion techniques struggle to fully leverage the complementary data
from sparse radar points and depth-deficient images, impacting their overall effectiveness …
from sparse radar points and depth-deficient images, impacting their overall effectiveness …
VIRUS-NeRF--Vision, InfraRed and UltraSonic based Neural Radiance Fields
Autonomous mobile robots are an increasingly integral part of modern factory and
warehouse operations. Obstacle detection, avoidance and path planning are critical safety …
warehouse operations. Obstacle detection, avoidance and path planning are critical safety …
Deep-PDANet: Camera-Radar Fusion for Depth Estimation in Autonomous Driving Scenarios
W Ai, Z Ma, L Zheng - 2023 - sae.org
The results of monocular depth estimation are no satisfactory in the automatic driving
scenario. The combination of radar and camera for depth estimation is a feasible solution to …
scenario. The combination of radar and camera for depth estimation is a feasible solution to …
Standardisierte Darstellung von realen Short-Range-Radar Sensordaten durch das Open Simulation Interface in einer ROS2 Fahrzeugarchitektur
CD Sell - 2023 - opus4.kobv.de
Autonomes Fahren wird ein immer wichtigeres Thema. Um dies zu ermöglichen, müssen
alle Sensordaten im Fahrzeug über eine gemeinsame Schnittstelle bereitgestellt werden …
alle Sensordaten im Fahrzeug über eine gemeinsame Schnittstelle bereitgestellt werden …