Learning accurate and human-like driving using semantic maps and attention

S Hecker, D Dai, A Liniger, M Hahner… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
This paper investigates how end-to-end driving models can be improved to drive more
accurately and human-like. To tackle the first issue we exploit semantic and visual maps …

Powered two-wheelers right-hand curve negotiation study using segmentation and data mining approaches

M Diop, A Boubezoul, L Oukhellou… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Understanding driver-vehicle interactions remains a challenge, particularly in the case of
cornering. This is particularly the case for powered two-wheeler vehicle (PTWs) users …

Motorcycle rider posture measurement for on-road experiments on rider intention detection

KL Stolle, A Wahl, S Schmidt - 2022 IEEE 1st International …, 2022 - ieeexplore.ieee.org
Motorcycle riders represent a highly vulnerable group of road users with high risk of heavy
injuries and fatalities per distance traveled. Hence there is an ongoing demand for the …

Tilt Angle Prediction of Motorcycle Based on LightGBM

B Huo, S Sha, Y Liu, Z Chen - 2023 China Automation …, 2023 - ieeexplore.ieee.org
The motorcycle tilt angle variation is a crucial indicator for the motorcycle stability. However,
due to the dynamic and complex nature of the environment and motorcycle mechanics, the …

Controlling Powered Two-Wheeled Vehicles in Bends Using Machine Learning

F Jalti, H Bekkay, A Mbarki - International Conference on Electronic …, 2022 - Springer
The artificial intelligence is experiencing tremendous development due to its multiple uses
conquering wide range of fields; however, few predictive models are used to estimate the …

[PDF][PDF] Vision and Data Driven Methods for Automotive Challenges: From End-to-end Driving to Curve Warning Systems

S Hecker - 2020 - research-collection.ethz.ch
Autonomous vehicles have been a science fiction dream for decades. However, massive
efforts by public research institutions and private corporations have made this dream almost …