Autonomous driving paper index

Sensor fusion in autonomous vehicle using LiDAR and camera Sensor

2022-09-16 · 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC)

autonomous drivingautonomous vehiclelidarsensor fusionperception

One-line summary

This paper presents a sensor fusion methodology for autonomous vehicles (AVs) using Light Detection and Ranging (LiDAR) and camera.

Engineering notes

Key topics: autonomous driving, autonomous vehicle, lidar, sensor fusion, perception. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

This paper presents a sensor fusion methodology for autonomous vehicles (AVs) using Light Detection and Ranging (LiDAR) and camera. Mostly sensors like camera or LiDAR is used only as the sensor for visual perception in AVs. But the hindrance comes during bad weather conditions, dim light or night time. To alleviate this problem, a method which combines both LiDAR and camera sensor using odometry is explored in this paper. The study also attempts to employ Extended Kalman Filter (EKF) to reduce error in position estimate of the vehicle.

5.0Engineering value
7.0Research novelty
5.0Business relevance

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