Evaluating the robustness of lidar-based 3d obstacles detection and its impacts on autonomous driving systems

TMT Pham, B Yang, J Yang - arXiv preprint arXiv:2408.13653, 2024 - arxiv.org
Autonomous driving systems (ADSs) require real-time input from multiple sensors to make
time-sensitive decisions using deep neural networks. This makes the correctness of these …

Enhancing traffic safety by developing vehicle safety envelope with real time data interface and machine learning based sensor fusion platform

V Soloiu, S Mehrzed, K Pierce, J Willis, A Rowell - 2023 - sae.org
The effectiveness of obstacle avoidance response safety systems such as ADAS, has
demonstrated the necessity to optimally integrate and enhance these systems in vehicles in …

The Influence of Target Color on the Measurement of the Distance Using LiDAR Sensor

A Hariton, C Zet, C Fosalau - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The multitude of applications based on LiDAR sensors has determined the proliferation of
studies on the influencing factors of distance measurement errors. Light, temperature …

Development and Evaluation of Blind Spot Detection Safety System Based on 2D-LiDAR Technology as an Optimization for ADAS Systems

TJ Sutton - 2024 - digitalcommons.georgiasouthern …
Distracted driving poses a significant safety hazard and will only exacerbate as the number
of modern-day distractions increases. To mitigate this problem, Advanced Driver Assistance …