High-definition maps: Comprehensive survey, challenges and future perspectives
G Elghazaly, R Frank, S Harvey… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …
can perceive, model, and analyze the surrounding environment, the more they become …
Motiondiffuser: Controllable multi-agent motion prediction using diffusion
We present MotionDiffuser, a diffusion based representation for the joint distribution of future
trajectories over multiple agents. Such representation has several key advantages: first, our …
trajectories over multiple agents. Such representation has several key advantages: first, our …
The waymo open sim agents challenge
Simulation with realistic, interactive agents represents a key task for autonomous vehicle
software development. In this work, we introduce the Waymo Open Sim Agents Challenge …
software development. In this work, we introduce the Waymo Open Sim Agents Challenge …
BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction
Predicting future trajectories of surrounding agents is essential for safety-critical autonomous
driving. Most existing work focuses on predicting marginal trajectories for each agent …
driving. Most existing work focuses on predicting marginal trajectories for each agent …
MoST: Multi-modality Scene Tokenization for Motion Prediction
Many existing motion prediction approaches rely on symbolic perception outputs to generate
agent trajectories such as bounding boxes road graph information and traffic lights. This …
agent trajectories such as bounding boxes road graph information and traffic lights. This …
Abstracting road traffic via topological braids: Applications to traffic flow analysis and distributed control
C Mavrogiannis, JA DeCastro… - … International Journal of …, 2023 - journals.sagepub.com
Despite the structure of road environments, imposed via geometry and rules, traffic flows
exhibit complex multiagent dynamics. Reasoning about such dynamics is challenging due to …
exhibit complex multiagent dynamics. Reasoning about such dynamics is challenging due to …
Multi-Vehicle Collaborative Planning Technology under Automatic Driving
S Rong, R Meng, J Guo, P Cui, Z Qiao - Sustainability, 2024 - mdpi.com
Autonomous vehicles hold the potential to significantly improve traffic efficiency and
advance the development of intelligent transportation systems. With the progression of …
advance the development of intelligent transportation systems. With the progression of …
Large Trajectory Models are Scalable Motion Predictors and Planners
Motion prediction and planning are vital tasks in autonomous driving, and recent efforts have
shifted to machine learning-based approaches. The challenges include understanding …
shifted to machine learning-based approaches. The challenges include understanding …
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Game theory offers an interpretable mathematical framework for modeling multi-agent
interactions. However, its applicability in real-world robotics applications is hindered by …
interactions. However, its applicability in real-world robotics applications is hindered by …
Multiverse transformer: 1st place solution for waymo open sim agents challenge 2023
This technical report presents our 1st place solution for the Waymo Open Sim Agents
Challenge (WOSAC) 2023. Our proposed MultiVerse Transformer for Agent simulation …
Challenge (WOSAC) 2023. Our proposed MultiVerse Transformer for Agent simulation …