3 papers
cs.RO2025
Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics
Jamal Raiyn
This paper proposes a new strategy for collision avoidance system leveraging Time-to-Collision (TTC) metrics for handling cut-in scenarios, which are particularly challenging for a…
cs.CV2025
Predicting Depth Maps from Single RGB Images and Addressing Missing Information in Depth Estimation
Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl
Depth imaging is a crucial area in Autonomous Driving Systems (ADS), as it plays a key role in detecting and measuring objects in the vehicle's surroundings. However, a significant…
cs.RO2025
Improve bounding box in Carla Simulator
Mohamad Mofeed Chaar, Jamal Raiyn, Galia Weidl
The CARLA simulator (Car Learning to Act) serves as a robust platform for testing algorithms and generating datasets in the field of Autonomous Driving (AD). It provides control ov…