[HTML][HTML] Trends and emerging technologies for the development of electric vehicles
T Mo, Y Li, K Lau, CK Poon, Y Wu, Y Luo - Energies, 2022 - mdpi.com
In response to severe environmental and energy crises, the world is increasingly focusing
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
on electric vehicles (EVs) and related emerging technologies. Emerging technologies for …
[HTML][HTML] Path planning algorithms in the autonomous driving system: A comprehensive review
This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
to reduce human errors that are the reason for about 95% of car accidents. The ADS …
Differentiable integrated motion prediction and planning with learnable cost function for autonomous driving
Predicting the future states of surrounding traffic participants and planning a safe, smooth,
and socially compliant trajectory accordingly are crucial for autonomous vehicles (AVs) …
and socially compliant trajectory accordingly are crucial for autonomous vehicles (AVs) …
Congestion-mitigating MPC design for adaptive cruise control based on Newell's car following model: History outperforms prediction
Currently, model predictive control (MPC) for adaptive cruise control (ACC) systems relies
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
Exploring imitation learning for autonomous driving with feedback synthesizer and differentiable rasterization
We present a learning-based planner that aims to robustly drive a vehicle by mimicking
human drivers' driving behavior. We leverage a mid-to-mid approach that allows us to …
human drivers' driving behavior. We leverage a mid-to-mid approach that allows us to …
Trajectory planning in Frenet frame via multi-objective optimization
Autonomous vehicles are an essential tool for promoting the development of intelligent
transportation systems (ITS) and can effectively reduce traffic accidents caused by human …
transportation systems (ITS) and can effectively reduce traffic accidents caused by human …
Towards the next level of vehicle automation through cooperative driving: A roadmap from planning and control perspective
Cooperative Driving Automation (CDA) stands at the forefront of the evolving landscape of
vehicle automation, elevating driving capabilities within intricate real-world environments …
vehicle automation, elevating driving capabilities within intricate real-world environments …
An efficient planning method based on deep reinforcement learning with hybrid actions for autonomous driving on highway
M Zhang, K Chen, J Zhu - International Journal of Machine Learning and …, 2023 - Springer
Due to the complexity and uncertainty of the traffic, planning for autonomous driving (AD) on
highway is challenging. Traditional planning algorithms have the problems of low and …
highway is challenging. Traditional planning algorithms have the problems of low and …
Mixed-integer motion planning on German roads within the Apollo driving stack
Traffic situations with interacting participants pose difficulties for today's autonomous
vehicles to interpret situations and eventually achieve their own mission goal. Interactive …
vehicles to interpret situations and eventually achieve their own mission goal. Interactive …
Vehicle motion planning with joint cartesian-frenét mpc
The Frenét frame is commonly used in motion planning for its superiority of reshaping
nonconvex curving boundaries and decoupling lateral and longitudinal behaviors …
nonconvex curving boundaries and decoupling lateral and longitudinal behaviors …