Autonomous driving technologies have recently made great strides in development, with several companies and research groups getting close to producing a vehicle with full …
Inevitably, autonomous vehicles need to interact with other road participants in a variety of highly complex or critical driving scenarios. It is still an extremely challenging task even for …
Predicting the behaviors of other road users is crucial to safe and intelligent decision-making for autonomous vehicles (AVs). However, most motion prediction models ignore the …
Given the current capabilities of autonomous vehicles, one can easily imagine autonomous vehicles being released on the road in the near future. However, it can be assumed that this …
Autonomous vehicles present an opportunity to transform transportation. The benefits range from increased access to mobility and time freed from driving, to greater safety due to …
Autonomous vehicles represent a transformative technological advancement with pro-found implications for our future mobility and quality of life. These systems promise to sig-nificantly …
The abilities to understand the social interaction behaviors between a vehicle and its surroundings while predicting its trajectory in an urban environment are critical for road …
H Liao, Z Li, H Shen, W Zeng, D Liao, G Li… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles. To address this challenge, we …
Predicting future trajectories of surrounding agents and conducting motion planning based on interaction predictions are of great importance for ensuring the safety and efficiency of …