Support Connect Tech Anvil

Overview

This release supports Connect Tech Anvil..

Important

Unlike the other ECUs, we provide a pre-build kernel module (.ko files) for Anvil. Please download the pre-build binary from this release page and follow the instructions.

Install

Currently, Anvil has issues with building and loading the out-of-tree modules.

We provide the pre-built drivers and the installation script to avoid dealing with the complicated kernel stuff.

1. Download tier4-camera-drivers-for-anvil.tar.gz.
2. Extract the tarball and run ./install.sh to install the camera drivers.
3. The installation script does the following steps for you:
   • Install the camera drivers' configuration files
   • Install the pre-built camera drivers
   • Install the pre-built device-tree blob
   • Create a new boot entry in the /boot/extlinux/extlinux.conf
4. After running the installation script, you can run /opt/nvidia/jetson-io/configure-by-hardware.py
5. Select the GMSL port assignment by using configure-by-hardware.py. For the details, please refer to README.
6. Reboot
7. Make sure that the camera device file (/dev/video*) is created

After the installation script is finished, you must ensure extlinux.conf is well-formed and valid.
This step may require your manual editing.

Support EAC-5000

Overview

This release supports Vecow EAC-5000..

Important

Unlike the other ECUs, we provide a pre-build kernel module (.ko files) for EAC-5000. Please download the pre-build binary from this release page and follow the instructions.

Install

Currently, EAC-5000 has issues with building and loading the out-of-tree modules.

We provide the pre-built drivers and the installation script to avoid dealing with the complicated kernel stuff.

1. Download tier4-drivers-for-eac-5000.tar.gz.
2. Extract the tarball and run ./install.sh to install the camera drivers.
3. The installation script does the following steps for you:
   • Install the camera drivers' configuration files
   • Install the pre-built camera drivers
   • Install the pre-built device-tree blob
   • Create a new boot entry in the /boot/extlinux/extlinux.conf
4. After running the installation script, you can run /opt/nvidia/jetson-io/configure-by-hardware.py
5. Select the GMSL port assignment by using configure-by-hardware.py. For the details, please refer to README.
6. Reboot
7. Make sure that the camera device file (/dev/video*) is created

After the installation script is finished, you must ensure extlinux.conf is well-formed and valid.
This step may require your manual editing.

Source

https://github.com/tier4/EAC-5000_src

v1.4.3

• Fixed an issue where the camera could not be recognized properly at boot-up.

What's Changed

• Fix/cache coherency in #18

Full Changelog: v1.4.2...v1.4.3

Initial RQX-59G support

This release initially supports ADLINK RQX-59G. Verified with BSP version 1.4.2 (based on Jetpack5.1.2)

Please download the pkg file from here and follow the getting started guide.

Important

When you apply configure_by_hardware.py to configure the camera assignment, please note that you need to apply the following command (not 2= but 1=)

sudo /opt/nvidia/jetson-io/config-by-hardware.py -n 1="<YOUR PREFERRED SETTING>"

This pkg is still under evaluation for other ECUs (e.g., RQX-58G). Please refer to the latest release for the other ECUs.

Note

Please be noted, that dedicated t4cam-ctrl tools are required for RQX-59G. Please download the deb package from this page.

What's Changed

• Update for RQX59G and FPGA Fsync by @QQting in #12

New Contributors

• @QQting made their first contribution in #12

Full Changelog: v1.4.2...tentative_support_59g

v1.4.2

Updates

Camera driver

• Fix the bug related to enabling/disabling distortion correction for both C1/C2 cameras.
• Support connecting two C2 cameras to one deserializer with 10fps mode with distortion correction.

t4cam-ctrl

• Fix the bug regarding manual exposure control for C1
• Fix the bug regarding C2 control

Test environment

We've verified the driver function with these setups.

• ROScube RQX-58G + L4T R32.6.1
• Nvidia Jetson AGX Xavier Devkit+ L4T R35.1
• Nvidia Jetson AGX Orin Devkit + L4T R35.2.1

Refer to the documentation https://tier4.github.io/edge-auto-docs/ for the details

Test Result

Warning

• Port 7 and Port 8 cannot be used in Xavier Devkit
• Xavier/Orin devkit only supports master mode (free-run mode) for both C1 and C2.

In the case of C1

Test \ Port	port 1	port 2	port 3	port 4	port 5	port 6	port 7	port 8	Result
1	C1								OK
2		C1							OK
3			C1						OK
4				C1					OK
5					C1				OK
6						C1			OK
7							C1		OK
8								C1	OK
9	C1	C1							OK
10			C1	C1					OK
11					C1	C1			OK
12							C1	C1	OK
13	C1		C1						OK
14	C1			C1					OK
15		C1	C1						OK
16		C1		C1					OK

Note
Test 13-16 could cover port 5 to port 8 as the structure is identical with the port1 to port 4

In the case of C2

Test \ Port	port 1	port 2	port 3	port 4	port 5	port 6	port 7	port 8	Result trigger_mode=0/1	Result trigger_mode=2/3/4/5
1	C2								OK	OK
2		C2							OK	OK
3			C2						OK	OK
4				C2					OK	OK
5					C2				OK	OK
6						C2			OK	OK
7							C2		OK	OK
8								C2	OK	OK
9	C2	C2							OK *	NG
10			C2	C2					OK *	NG
11					C2	C2			OK *	NG
12							C2	C2	OK *	NG
13	C2		C2						OK	OK
14	C2			C2					OK	OK
15		C2	C2						OK	OK
16		C2		C2					OK	OK

Note

• Currently, in the case of Test 9 ~ 12 (2 cameras with single deserializer), the framerate must be set to 10fps.
• Test 13-16 could cover port 5 to port 8 as the structure is identical with port1 to port 4

In the case of a combination between C1 and C2

Test \ Port	port 1	port 2	port 3	port 4	port 5	port 6	port 7	port 8	Result trigger_mode=0/1/2/3/4/5
1	C1		C2						OK
2	C1			C2					OK
3		C1	C2						OK
4		C1		C2					OK

Note
Tests 1-4 could cover port 5 to port 8 as the structure is identical with the port1 to port 4

Release v.1.4.1-fix-1

Modifications

• Several bug fixes for C2 camera (#14):
  • Fixed the number of lanes in the case of Nvidia Xavier devkit
  • Fixed the bug regarding the activation of distortion correction.
  • Fixed the bug regarding the trigger_mode setting (in the case of setting 0)

Documentation

Edge.Auto documentation site

Release v1.4.1

Camera driver deb package (v1.4.1): tier4-camera-gmsl_1.4.1_arm64.deb

• Supports embedded data output for C1 (documentation has not been written yet)
• Supports multiple framerates (10fps, 20fps and 30fps for both Master/Slave) for C2. Please refer to the documentation

t4cam-ctrl deb package (v1.4.0) for RQX-58G and Nvidia Orin/Xavier devkit

• Tentative support for C2 has been added
• t4cam_sdk-1.4.0-Linux.deb -> For Orin/Xavier devkit
• t4cam_sdk-1.4.0-rqx.deb -> For ROSCube RQX-58G

Documentation

• Documents are moved to Edge.Auto documentation site

Release v1.3.0

Remaining work to release
-write changelog

Release v1.2.1

This release (1.2.1) contains the following update from 1.1.1

• Fix the starting order issue(port opening order #1) of not displaying properly when connecting two cameras to one Deserializer
  • Images are output normally regardless of the order in which the cameras are started.
  • Regarding the Xavier Devkit, R35.1 supports up to 6 camera connections, so R32.6.1 also supports 6 cameras.
  • For Orin and XavierDevKit, in environments where C1 and C2 cameras coexist, up to one each is supported.

Please note that the keywords referenced in config-by-hardware have changed since v1.1.1 for some devices.
Tier4 ISX021 GMSL2 Camera Device Tree Overlay > TIERIV ISX021 GMSL2 Camera Device Tree Overlay

v1.2.10 release for limited usage

Add space

Signed-off-by: Kazunari Kawabata <kazunari.kawabata@tier4.jp>