Autonomous Cars: Technical Challenges and a Solution to Blind Spot

Top-Down vs Bottom-Up Methodologies for Adas System Design

“…В качестве примера подобных гетерогенных подсистем можно привести подсистему восприятия беспилотного автомобиля, которая представляет собой совокупность разнородных сенсоров: лидаров, сонаров, радаров, камер, спутниковых и инерциальных систем навигации и т.д. (см., например, [15,16]). На рис.…”

A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors

“…This pushes research to advance in different sensing technologies and in creating more robust perception systems. Figure 1 depicts a typical multi-sensor perception system composed of cameras, RADAR, and LiDAR sensors, which can help in providing cross-traffic alerts, blind spot assist [ 46 ], Adaptive Cruise Control (ACC) [ 47 ], pedestrian detection and avoidance [ 48 ], and Automatic Emergency Braking (AEB) [ 49 , 50 ]. Together, all these sensors allow retrieving redundant information about the surrounding environment, ensuring that high-level autonomous driving decisions are made based on accurate representations of the vehicle’s vicinity.…”

Research on intelligent driving technology based on acoustic vision fusion

“…The pure visual camera scheme is easily affected by light, resulting in sensor failure [2] . The lidar scheme has problems such as visual blind spots [3] . The current solutions are to avoid blind spots by increasing the number of sensors [4] .…”