Sajjad Mozaffari — accepted AI-conference papers

2023

Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks

Sajjad Mozaffari, MReza Alipour Sormoli, Konstantinos Koufos, Mehrdad Dianati

RA-L 2023

Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a., automated driving systems (ADSs). Due to the uncertain future behaviour of vehicles, multiple future behaviour modes a

Cited by 43 Source ↗code ↗Scholar ↗

2022

Fast and Robust Registration of Partially Overlapping Point Clouds

Eduardo Arnold, Sajjad Mozaffari, Mehrdad Dianati

RA-L 2022

Real-time registration of partially overlapping point clouds has emerging applications in cooperative perception for autonomous vehicles and multi-agent SLAM. The relative translation between point clouds in these applications is higher than in traditional SLAM and odometry applications, which chall

Cited by 74 Source ↗code ↗Scholar ↗