scispace - formally typeset
Proceedings ArticleDOI

Panoramic 3D LiDAR-based Object Detection

Divya Kadam, +2 more
- pp 770-776
Reads0
Chats0
TLDR
In this article , the authors proposed a self-driving car detection system, which uses a combination of artificial intelligence, algorithms, and sensors to navigate roads and make decisions without human intervention.
Abstract
Vehicle detection systems play a crucial role in preventing accidents by providing real-time information about the location and movement of vehicles on the road. Monitoring speed is also essential for safety purposes as it enables the identification of vehicles that are exceeding speed limits or driving recklessly under current road conditions. The emergence of self-driving cars, which use a combination of artificial intelligence, algorithms, and sensors to navigate roads and make decisions without human intervention, is a rapidly advancing technology. Despite its complexity, this technology offers numerous advantages such as increased safety and reduced traffic congestion. One of the most significant benefits of self-driving cars is the potential to reduce accidents caused by human error, which is the leading cause of traffic accidents. By eliminating the need for human drivers, the risk of accidents can be significantly reduced. The frequency of car accidents is alarming, with one occurring every minute according to the National Highway Traffic Safety Administration (NHTSA). Auto insurance industry statistics indicate that every driver is likely to encounter at least four car accidents in their lifetime. Inexperienced drivers, particularly those aged 16 to 20, are at a higher risk of being involved in accidents. Annually, approximately 37,000 people die in car accidents, with one fatal accident occurring every 16 minutes. Among these, nearly 8,000 deaths involve drivers aged between 16 and 20 years old. Shockingly, more than 1,600 children under the age of 15 lose their lives in car accidents each year. To combat this alarming trend, measures are being taken to promote safe driving and reduce the frequency of accidents. Additionally, self-driving cars have the potential to improve traffic flow and minimize travel time as the vehicles can communicate with each other to optimize traffic flow and avoid congestion.

read more

Content maybe subject to copyright    Report

References
More filters

Junior: The Stanford Entry in the Urban Challenge.

TL;DR: The architecture of Junior, a robotic vehicle capable of navigating urban environments autonomously, successfully finished and won second place in the DARPA Urban Challenge, a robot competition organized by the U.S. Government.
Proceedings ArticleDOI

On the segmentation of 3D LIDAR point clouds

TL;DR: This paper presents a set of segmentation methods for various types of 3D point clouds addressed using ground models of non-constant resolution either providing a continuous probabilistic surface or a terrain mesh built from the structure of a range image, both representations providing close to real-time performance.
Proceedings ArticleDOI

Segmentation of 3D lidar data in non-flat urban environments using a local convexity criterion

TL;DR: A fast algorithm able to deal with tremendous amounts of 3D Lidar measurements using a graph-based approach to segment ground and objects from 3D lidar scans using a novel unified, generic criterion based on local convexity measures is presented.
Journal ArticleDOI

3D Lidar-based static and moving obstacle detection in driving environments

TL;DR: A 3D perception system based on voxel-grid model for static and moving obstacles detection using discriminative analysis and ego-motion information and a complete framework for ground surface estimation and static/moving obstacle detection in driving environments is proposed.
Trending Questions (1)
What are the safety statistics for self driving cars?

The provided paper does not provide safety statistics for self-driving cars. The paper discusses the potential benefits of self-driving cars, such as increased safety and reduced traffic congestion, but does not provide specific statistics on their safety.