Object detection is a crucial component of autonomous driving, and many
...
One of the fundamental challenges in the prediction of dynamic agents is...
Rapidly Exploring Random Trees (RRT) is one of the most widely used
algo...
Object detection (OD) is crucial to autonomous driving. Unknown objects ...
Deep Reinforcement Learning (DRL) enables cognitive Autonomous Ground Ve...
Autonomous Ground Vehicles (AGVs) are essential tools for a wide range o...
Connected Autonomous Vehicles (CAVs) are key components of the Intellige...
Although extensive research in planning has been carried out for normal
...
A lack of driver's vigilance is the main cause of most vehicle crashes.
...
Past research on pedestrian trajectory forecasting mainly focused on
det...
Autonomous vehicles promise a future with a safer, cleaner, more efficie...
Perception is critical to autonomous driving safety. Camera-based object...
Environment perception is crucial for autonomous vehicle (AV) safety. Mo...
Classification of EEG-based motor imagery (MI) is a crucial non-invasive...
This paper introduces Sentinel, an onboard system that guides the lane c...
Common spatial pattern (CSP) is a popular feature extraction method for
...
Drivers cognitive and physiological states affect their ability to contr...
A misalignment of LiDAR as low as a few degrees could cause a significan...
This paper presents a novel automatic calibration system to estimate the...
This paper presents a model to estimate the probability of reaching a
ne...
Adaptive Cruise Control (ACC) is an Advanced Driver Assistance System (A...