Self-driving cars: A survey
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …
cars developed since the DARPA challenges, which are equipped with an autonomy system …
Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps
Behavior-related research areas such as motion prediction/planning, representation/
imitation learning, behavior modeling/generation, and algorithm testing, require support from …
imitation learning, behavior modeling/generation, and algorithm testing, require support from …
Milestones in autonomous driving and intelligent vehicles—part ii: Perception and planning
A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …
Baidu apollo em motion planner
In this manuscript, we introduce a real-time motion planning system based on the Baidu
Apollo (open source) autonomous driving platform. The developed system aims to address …
Apollo (open source) autonomous driving platform. The developed system aims to address …
Federated learning on the road autonomous controller design for connected and autonomous vehicles
The deployment of future intelligent transportation systems is contingent upon seamless and
reliable operation of connected and autonomous vehicles (CAVs). One key challenge in …
reliable operation of connected and autonomous vehicles (CAVs). One key challenge in …
Kinodynamic trajectory optimization and control for car-like robots
C Rösmann, F Hoffmann… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
This paper presents a novel generic formulation of Timed-Elastic-Bands for efficient online
motion planning of car-like robots. The planning problem is defined in terms of a finite …
motion planning of car-like robots. The planning problem is defined in terms of a finite …
Efficient sampling-based maximum entropy inverse reinforcement learning with application to autonomous driving
In the past decades, we have witnessed significant progress in the domain of autonomous
driving. Advanced techniques based on optimization and reinforcement learning become …
driving. Advanced techniques based on optimization and reinforcement learning become …
Epsilon: An efficient planning system for automated vehicles in highly interactive environments
In this article, we present an efficient planning system for automated vehicles in highly
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
interactive environments (EPSILON). EPSILON is an efficient interaction-aware planning …
Safe trajectory generation for complex urban environments using spatio-temporal semantic corridor
Planning safe trajectories for autonomous vehicles in complex urban environments is
challenging since there are numerous semantic elements (such as dynamic agents, traffic …
challenging since there are numerous semantic elements (such as dynamic agents, traffic …
Hybrid trajectory planning for autonomous driving in highly constrained environments
Y Zhang, H Chen, SL Waslander, J Gong… - IEEE …, 2018 - ieeexplore.ieee.org
In this paper, we introduce a novel and efficient hybrid trajectory planning method for
autonomous driving in highly constrained environments. The contributions of this paper are …
autonomous driving in highly constrained environments. The contributions of this paper are …