Please provide the following info:
Hardware Platform: [Example: DRIVE AGX Xavier™ Developer Kit]
Software Version: [Example: DRIVE Software 10]
Host Machine Version: [native Ubuntu 18.04]
SDK Manager Version: [1.4.0.7363]
Website https://developer.nvidia.com/drive/drive-perception mentions the following
The NVIDIA DRIVE™ Perception pipeline for obstacle perception consists of interacting algorithmic modules built around NVIDIA DRIVE™ Networks DNNs, along with DNN post-processing. Capabilities include:
Camera-based:
*** Obstacle detection and classification, including cars and pedestrians, as well as distance to object detection (based on DriveNet DNN)**
- Drivable free-space detection (based on OpenRoadNet DNN)
- Camera image clarity detection and classification (based on ClearSightNet DNN)
- Semantic motion segmentation (SMS) for detection of both static and dynamic objects
Also, there is a blog -DRIVE Labs: Detecting the Distance | NVIDIA Blog
which mentions about “distance-to-object detection using data from a single camera”
Can you please let me know the sample code where this is implemented?
Drivenet has object dwObjectCamera which has below attribute. However, value is always 0.
// Kinematics
/// Radial distance (in meter) from host car to object
float32_t distance_m;
Thanks & Regards,
Hitesh