Autonomy 2.0: Why is self-driving always 5 years away?

Autonomy 2.0: Why is self-driving always 5 years away?

16 July 2021

Papers citing "Autonomy 2.0: Why is self-driving always 5 years away?"

14 / 14 papers shown

Title
LVLM-MPC Collaboration for Autonomous Driving: A Safety-Aware and Task-Scalable Control Architecture Kazuki Atsuta Kohei Honda H. Okuda Tatsuya Suzuki 156 0 0 08 May 2025
Dolphins: Multimodal Language Model for Driving Yingzi Ma Yulong Cao Jiachen Sun Marco Pavone Chaowei Xiao MLLM 33 50 0 01 Dec 2023
Controlling Steering with Energy-Based Models Mykyta Baliesnyi Ardi Tampuu Tambet Matiisen LLMSV 35 2 0 28 Jan 2023
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective Wenbo Shao Yan Xu Liang Peng Jun Li Hong Wang 32 15 0 11 Jan 2023
DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles Peter Karkus Boris Ivanovic Shie Mannor Marco Pavone 36 45 0 13 Dec 2022
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving Eli Bronstein Mark Palatucci Dominik Notz Brandyn White Alex Kuefler ... Punit Shah Evan Racah Benjamin Frenkel Shimon Whiteson Drago Anguelov 45 58 0 18 Oct 2022
Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field Yurui Du F. S. Acerbo Jens Kober Tong Duy Son 21 4 0 04 Oct 2022
Critic Sequential Monte Carlo Vasileios Lioutas J. Lavington Justice Sefas Matthew Niedoba Yunpeng Liu Berend Zwartsenberg Setareh Dabiri Frank D. Wood Adam Scibior 47 7 0 30 May 2022
Testing predictive automated driving systems: lessons learned and future recommendations Ruben Izquierdo Gonzalo Carlota Salinas Maldonado J. Ruiz Ignacio Parra Alonso David Fernández Llorca Miguel Ángel Sotelo 32 10 0 25 Apr 2022
Towards Driving-Oriented Metric for Lane Detection Models Takami Sato Qi Alfred Chen 18 12 0 31 Mar 2022
Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data Lukas Platinsky Tayyab Naseer Hui Chen Benjamin A. Haines Haoyue Zhu Hugo Grimmett Luca Del Pero 29 1 0 03 Mar 2022
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models Nicholas Rhinehart Jeff He Charles Packer Matthew A. Wright R. McAllister Joseph E. Gonzalez Sergey Levine 103 32 0 21 Apr 2021
TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors Simon Suo S. Regalado Sergio Casas R. Urtasun 151 224 0 17 Jan 2021
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016