Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …

Autonomous driving is considered one of the revolutionary technologies shaping humanity's
future mobility and quality of life. However, safety remains a critical hurdle in the way of …

Simulators play a crucial role in autonomous driving, offering significant time, cost, and labor
savings. Over the past few years, the number of simulators for autonomous driving has …

Motion prediction modules are crucial for autonomous vehicles to forecast the future
behavior of surrounding road users. Failures in prediction modules can mislead a …

Unmanned aerial vehicles (UAVs) have become increasingly popular for traffic data
collection. However, the depth relief of road users and the perspective distortion of the …

Autonomous driving has attracted considerable attention from research and industry
communities. Although prototypes of automated vehicles (AVs) are developed, remaining …

Defined traffic laws must be respected by all vehicles when driving on the road, including
self-driving vehicles without human drivers. Nevertheless, the ambiguity of human-oriented …

Motion prediction is essential for safe and efficient autonomous driving. However, the
inexplicability and uncertainty of complex artificial intelligence models may lead to …

Accurate trajectory prediction is essential for safe and efficient autonomous driving in
complex traffic environments. While artificial intelligence has shown great promise in …

Cooperative perception is a promising technique for intelligent and connected vehicles
through vehicle-to-everything (V2X) cooperation, provided that accurate pose information …