Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Paper
Publisher : IEEE
Source : 2021 7th International Conference on Advanced Computing & Communication Systems (ICACCS)
Url : https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9441884
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2021
Abstract : The work focuses on developing an algorithm to assist drivers in lane changing using Light Detection and Ranging (LiDAR) and Computer Vision (CV). It is expected to reduce the number of accidents caused by improper lane switching. It proceeds with the help of the dataset taken from Karlsruhe Institute of Technology and Toyota Technological Institute of Chicago (KITTI) vision benchmark suite which consists of both LiDAR and CV samples. By combining the results obtained from CV with the LiDAR data, it is possible to predict the distance between the car and the nearest obstacle. An algorithm is developed to indicate the availability of a free lane with the data obtained.
Cite this Research Publication : Veni, S., Anand, R., Mohan, D., & Sreevidya, P. (2021, March). Lidar Based Lane-Change Assistance For Motor Vehicle. In 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 248-254). IEEE.