most citedInjecting Knowledge in Data-driven Vehicle Trajectory Predictors

74 citations · 89 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction

Lan Feng, Mohammadhossein Bahari, Kaouther Messaoud Ben Amor +3

Vehicle trajectory prediction has increasingly relied on data-driven solutions, but their ability to scale to different data domains and the impact of larger dataset sizes on their…

cs.CV2024

Certified Human Trajectory Prediction

Mohammadhossein Bahari, Saeed Saadatnejad, Amirhossein Askari Farsangi +2

Predicting human trajectories is essential for the safe operation of autonomous vehicles, yet current data-driven models often lack robustness in case of noisy inputs such as adver…

cs.RO2021★ 10 cited

Causal Imitative Model for Autonomous Driving

Mohammad Reza Samsami, Mohammadhossein Bahari, Saber Salehkaleybar +1

Imitation learning is a powerful approach for learning autonomous driving policy by leveraging data from expert driver demonstrations. However, driving policies trained via imitati…

cs.CV2021★ 1 cited

Vehicle trajectory prediction works, but not everywhere

Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi +4

Vehicle trajectory prediction is nowadays a fundamental pillar of self-driving cars. Both the industry and research communities have acknowledged the need for such a pillar by prov…

cs.CV2021★ 4 cited

SVG-Net: An SVG-based Trajectory Prediction Model

Mohammadhossein Bahari, Vahid Zehtab, Sadegh Khorasani +3

Anticipating motions of vehicles in a scene is an essential problem for safe autonomous driving systems. To this end, the comprehension of the scene's infrastructure is often the m…

cs.CV2021

Are socially-aware trajectory prediction models really socially-aware?

Saeed Saadatnejad, Mohammadhossein Bahari, Pedram Khorsandi +3

Our field has recently witnessed an arms race of neural network-based trajectory predictors. While these predictors are at the core of many applications such as autonomous navigati…

cs.AI2021★ 74 cited

Injecting Knowledge in Data-driven Vehicle Trajectory Predictors

Mohammadhossein Bahari, Ismail Nejjar, Alexandre Alahi

Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently with data-driven ones. On the o…