feat: initial HSAP platform

Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>

algorithms/lane_ufld/code/pytorch-auto-drive-master/autotest_culane.sh

@@ -0,0 +1,25 @@
+#!/bin/bash
+backend="cpp"  # or python
+echo experiment name: $1
+echo status: $2
+echo save dir: $3
+
+if [ "${backend}" = "cpp" ]; then
+    cd tools/culane_evaluation
+else
+    echo Although python version works, we still suggest using the official Cpp version when possible!
+    echo At least try them when you are writing a paper.
+    echo Cpp and Python backends yield slightly different results.
+    cd tools/culane_evaluation_py
+fi
+
+if [ "$2" = "test" ]; then
+    # Perform test with official scripts
+    ./eval.sh $1 $3
+    # Calculate overall F1 score
+    python cal_total.py --exp-name=$1 --save-dir=$3
+else
+    # Perform validation with official scripts
+    ./eval_validation.sh $1 $3
+fi
+cd ../../