Fetching the paper…
Reading the bibliography…
Trajectory prediction and planning are essential for autonomous vehicles to navigate safely and efficiently in dynamic environments.
Distributed optimization and statistical learning via the alternating direction method of multipliers
Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein, et al · 2011
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma · 2014
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
Earlier work this paper cites.
Planning for autonomous cars that leverage effects on human actions
Dorsa Sadigh, Shankar Sastry, Sanjit A Seshia, and Anca D Dragan · 2016
Earlier work this paper cites.
Attention is all you need
A Vaswani · 2017
Earlier work this paper cites.
Hierarchical game-theoretic planning for autonomous vehicles
Jaime F Fisac, Eli Bronstein, Elis Stefansson, Dorsa Sadigh, S Shankar Sastry, and Anca D Dragan · 2019
Earlier work this paper cites.
Interactive decision making for autonomous vehicles in dense traffic
David Isele · 2019
Earlier work this paper cites.
Cooperation-aware lane change maneuver in dense traffic based on model predictive control with recurrent neural network
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, and Scott Moura · 2020
Earlier work this paper cites.
nuscenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Driving in dense traffic with model-free reinforcement learning
Dhruv Mauria Saxena, Sangjae Bae, Alireza Nakhaei, Kikuo Fujimura, and Maxim Likhachev · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
Earlier work this paper cites.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Earlier work this paper cites.
Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R Qi, Yin Zhou, et al · 2021
Earlier work this paper cites.
Prediction-based reachability for collision avoidance in autonomous driving
Anjian Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka, and Mo Chen · 2021
Earlier work this paper cites.
Scene transformer: A unified architecture for predicting multiple agent trajectories
Jiquan Ngiam, Benjamin Caine, Vijay Vasudevan, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, et al · 2021
Earlier work this paper cites.
Anytime game-theoretic planning with active reasoning about humans’ latent states for human-centered robots
Ran Tian, Liting Sun, Masayoshi Tomizuka, and David Isele · 2021
Earlier work this paper cites.
Is conditional generative modeling all you need for decision-making?
Anurag Ajay, Yilun Du, Abhi Gupta, Joshua Tenenbaum, Tommi Jaakkola, and Pulkit Agrawal · 2022
Cited alongside, same era.
Lane-change in dense traffic with model predictive control and neural networks
Sangjae Bae, David Isele, Alireza Nakhaei, Peng Xu, Alexandre Miranda Anon, Chiho Choi, Kikuo Fujimura, and Scott Moura · 2022
Cited alongside, same era.
Planning with diffusion for flexible behavior synthesis
Michael Janner, Yilun Du, Joshua B Tenenbaum, and Sergey Levine · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Cited alongside, same era.
Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
Rcms: Risk-aware crash mitigation system for autonomous vehicles
Faizan M Tariq, David Isele, John S Baras, and Sangjae Bae · 2023
Later among the works it cites.
Guided conditional diffusion for controllable traffic simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, and Marco Pavone · 2023
Later among the works it cites.
Alexandre Miranda Anon, Sangjae Bae, Manish Saroya, and David Isele · 2024
Later among the works it cites.
Don’t get stuck: A deadlock recovery approach
Francesca Baldini, Faizan M Tariq, Sangjae Bae, and David Isele · 2024
Later among the works it cites.
Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach
Haimin Hu, David Isele, Sangjae Bae, and Jaime F Fisac · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Motion transformer with global intention localization and local movement refinement
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2022
Cited alongside, same era.
Slas: Speed and lane advisory system for highway navigation
Faizan M Tariq, David Isele, John S Baras, and Sangjae Bae · 2022
Cited alongside, same era.
Autonomous vehicle overtaking in a bidirectional mixed-traffic setting
Faizan M Tariq, Nilesh Suriyarachchi, Christos Mavridis, and John S Baras · 2022
Cited alongside, same era.
Safety assurances for human-robot interaction via confidence-aware game-theoretic human models
Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, and Anca D Dragan · 2022
Cited alongside, same era.
Controllable safety-critical closed-loop traffic simulation via guided diffusion
Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, and Manmohan Chandraker · 2023
Cited alongside, same era.
Interactive joint planning for autonomous vehicles
Yuxiao Chen, Sushant Veer, Peter Karkus, and Marco Pavone · 2023
Cited alongside, same era.
Diffusion policy: Visuomotor policy learning via action diffusion
Cheng Chi, Siyuan Feng, Yilun Du, Zhenjia Xu, Eric Cousineau, Benjamin Burchfiel, and Shuran Song · 2023
Cited alongside, same era.
Zhiyu Huang, Zixu Zhang, Ameya Vaidya, Yuxiao Chen, Chen Lv, and Jaime Fernández Fisac · 2024
Later among the works it cites.
Diffusolve: Diffusion-based solver for non-convex trajectory optimization
Anjian Li, Zihan Ding, Adji Bousso Dieng, and Ryne Beeson · 2024
Later among the works it cites.
Consistency policy: Accelerated visuomotor policies via consistency distillation
Aaditya Prasad, Kevin Lin, Jimmy Wu, Linqi Zhou, and Jeannette Bohg · 2024
Later among the works it cites.
Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying
Shaoshuai Shi, Li Jiang, Dengxin Dai, and Bernt Schiele · 2024
Later among the works it cites.
Lin Song, David Isele, Naira Hovakimyan, and Sangjae Bae · 2024
Later among the works it cites.
Motion prediction – 2024 – Waymo open dataset
Waymo · 2024
Later among the works it cites.
Predicting long-term human behaviors in discrete representations via physics-guided diffusion
Zhitian Zhang, Anjian Li, Angelica Lim, and Mo Chen · 2024
Later among the works it cites.
Active probing with multimodal predictions for motion planning
Darshan Gadginmath, Farhad Nawaz, Minjun Sung, Faizan M Tariq, Sangjae Bae, David Isele, Fabio Pasqualetti, and Jovin D’sa · 2025
Closest in time.
Delayed-decision motion planning in the presence of multiple predictions
David Isele, Alexandre Miranda Anon, Faizan M Tariq, Goro Yeh, Avinash Singh, and Sangjae Bae · 2025
Closest in time.
Aligning diffusion model with problem constraints for trajectory optimization
Anjian Li and Ryne Beeson · 2025
Closest in time.
Graph-based path planning with dynamic obstacle avoidance for autonomous parking
Farhad Nawaz, Minjun Sung, Darshan Gadginmath, Jovin D’sa, Sangjae Bae, David Isele, Nadia Figueroa, Nikolai Matni, and Faizan M Tariq · 2025
Closest in time.
Iann-mppi: Interaction-aware neural network-enhanced model predictive path integral approach for autonomous driving
Kanghyun Ryu, Minjun Sung, Piyush Gupta, Jovin D’sa, Faizan M. Tariq, David Isele, and Sangjae Bae · 2025
Closest in time.
Frenet corridor planner: An optimal local path planning framework for autonomous driving
Faizan M Tariq, Zheng-Hang Yeh, Avinash Singh, Sangjae Bae, and David Isele · 2025
Closest in time.