Multi-object detection and multi-object-tracking in diverse driving situations is the main
challenge in autonomous vehicles. Vehicle manufacturers and research organizations are …

Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …

Datasets for autonomous cars are essential for the development and benchmarking of
perception systems. However, most existing datasets are captured with camera and LiDAR …

Recently, time-of-flight LiDAR using the single-photon detection approach has emerged as a
potential solution for three-dimensional imaging in challenging measurement scenarios …

We present and discuss the case for full waveform pixel and image acquisition and
processing to enable LiDAR sensors to penetrate and reconstruct 3D surface maps through …

Light detection and ranging sensors (LiDARS) are the most promising devices for range
sensing in automated cars and therefore, have been under intensive development for the …

Automotive traffic scenes are complex due to the variety of possible scenarios, objects, and
weather conditions that need to be handled. In contrast to more constrained environments …

Single-photon light detection and ranging (LiDAR) has emerged as a strong candidate
technology for active imaging applications. In particular, the single-photon sensitivity and …

Perception sensors such as camera, radar, and lidar have gained considerable popularity in
the automotive industry in recent years. In order to reach the next step towards automated …

A highly detailed sensing of a vehicle's surrounding environment is a key requirement for the
advancement of autonomous driving technology. While conventional automotive radar …