This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.
-
Updated
Jun 10, 2025 - Python
This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.
Emergency Index (EI): A two-dimensional surrogate safety measure considering vehicles' interaction depth
🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles
Compute time-to-collision (TTC) using Lidar and Camera sensors. Identify suitable keypoint detector-descriptor combinations for TTC estimation.
This repository shares vectorised python scripts to calculate various surrogate safety measures (SSMs), or in another way called, surrogate measures of safety (SMoS) for pairs of road users on an abstracted plane of road, i.e., in a two-dimensional space.
A ROS2 project for autonomous car racing RC CAR. Code can run both in the physical car, as well as in simulation.
Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree
Keypoint Tracking and Matching in Autonomous Vehicles to measure TTC between consecutive frames of the KITTI Dataset
Detect and track objects from the benchmark KITTI dataset. Classify those objects and project them into three dimensions. Fuse those projections together with LiDAR data to create 3D objects to track over time.
Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program
Detector-agnostic monocular AEB/FCW decision chain: detection → tracking → in-path filtering → ranging → dual-source TTC → 4-level risk state machine; road-surface-adaptive braking thresholds. Install: pip install mono-aeb · 检测器无关的单目 AEB/FCW 决策链(免标定尺度 TTC)
Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).
Analyze intersection motion from overhead imagery with trajectories, velocity, TTC, uncertainty, and collision-risk counterfactuals.
Real-time hands-free safety guidance: TTC risk scoring, hysteresis alarms, priority speech scheduling, accessible tips and session metrics. 110 tests, 100% branch coverage, zero runtime dependencies.
Loads images into a ring buffer to optimize memory load and then integrate several keypoint detectors such as HARRIS, FAST, BRISK and SIFT and compares them with regard to number of keypoints and speed.
Predictive collision avoidance system for urban e-scooters - dual-metric TTC/DRAC algorithm in embedded C, validated via MATLAB/Simulink SIL framework across 500 structured scenarios. Thresholds derived from UK STATS19 accident data. ARM Cortex-M4 ready: ~1.65µs per call at 168MHz.
3D object tracking and time-to-collision estimation using LiDAR and camera sensor fusion with computer vision and C++.
Adaptive cruise control simulation comparing fuzzy logic vs PID with time-to-collision driving modes
Time to collision based on lidar and camera data.
SafeBubble — real-time depth-aware safety bubble for wearable RGB+Depth (YOLOv8 + Intel RealSense, TTC alerts & visualization)
To associate your repository with the time-to-collision topic, visit your repo's landing page and select "manage topics."