Autonomous braking system via deep reinforcement learning
In this paper, we propose a new autonomous braking system based on deep reinforcement
learning. The proposed autonomous braking system automatically decides whether to apply …
learning. The proposed autonomous braking system automatically decides whether to apply …
Detecting, analysing, and modelling failed lane-changing attempts in traditional and connected environments
Lane-changing is a routine yet a complex driving task that has several negative impacts on
both traffic flow efficiency and road safety, and thus, lane-changing models have become an …
both traffic flow efficiency and road safety, and thus, lane-changing models have become an …
Predicting driver's lane-changing decisions using a neural network model
J Zheng, K Suzuki, M Fujita - Simulation Modelling Practice and Theory, 2014 - Elsevier
Lane changing has a significant impact on traffic flow characteristics and potentially reduces
traffic safety. However, literature relating to lane changing is not comprehensive, largely …
traffic safety. However, literature relating to lane changing is not comprehensive, largely …
Long-term prediction for high-resolution lane-changing data using temporal convolution network
Lane-changing is an important driving behaviour and unreasonable lane changes can
potentially result in traffic accidents. Currently, the lane-changing data are often recorded …
potentially result in traffic accidents. Currently, the lane-changing data are often recorded …
Semantic annotation and retrieval of video events using multimedia ontologies
Effective usage of multimedia digital libraries has to deal with the problem of building
efficient content annotation and retrieval tools. In this paper multimedia ontologies, that …
efficient content annotation and retrieval tools. In this paper multimedia ontologies, that …
[PDF][PDF] 基于纵向安全距离的超车安全预警模型
游峰， 张荣辉， 王海玮， 温惠英… - … 理工大学学报: 自然科学版, 2013 - researchgate.net
目前, 在高速公路上因超车导致的交通事故频发且后果严重. 为此, 提出了超车安全的预警模型.
首先分析了车辆超车安全的影响因素; 然后对超车过程发生的碰撞进行分类, 并建立超车场景; …
首先分析了车辆超车安全的影响因素; 然后对超车过程发生的碰撞进行分类, 并建立超车场景; …
[PDF][PDF] Safety of Lane Change Maneuver Through A Priori Prediction of Trajectory Using Neural Networks.
RS Tomar, S Verma - Netw. Protoc. Algorithms, 2012 - academia.edu
Lane change (LC) is a maneuver that allows drivers to enter into a lane that suits their
requirements and comfort. The LC process requires the driver to assess its neighborhood …
requirements and comfort. The LC process requires the driver to assess its neighborhood …
SVM based trajectory predictions of lane changing vehicles
In dense traffic, a lane change maneuver is potentially dangerous and a driver's erroneous
estimation of inter vehicle gaps may cause an accident. This signifies the necessity of …
estimation of inter vehicle gaps may cause an accident. This signifies the necessity of …
Neural network based lane change trajectory predictions for collision prevention
Lane change is a vital maneuver which disturbs the traffic equilibrium and is a major cause
of collision on the road. This process involves decision to change lanes followed by the …
of collision on the road. This process involves decision to change lanes followed by the …
A lane-changing prediction method based on temporal convolution network
Lane-changing is an important driving behavior and unreasonable lane changes can result
in potentially dangerous traffic collisions. Advanced Driver Assistance System (ADAS) can …
in potentially dangerous traffic collisions. Advanced Driver Assistance System (ADAS) can …