Dynamic Probabilistic Drivability Maps for Lane Change and Merge Driver Assistance

2014 ◽  
Vol 15 (5) ◽  
pp. 2063-2073 ◽  
Author(s):  
Sayanan Sivaraman ◽  
Mohan Manubhai Trivedi
Keyword(s):  
Lane Change ◽  
Driver Assistance

scholarly journals Goal Estimation of Mandatory Lane Changes Based on Interaction between Drivers

2020 ◽  
Vol 10 (9) ◽  
pp. 3289
Author(s):  
Hanwool Woo ◽  
Mizuki Sugimoto ◽  
Hirokazu Madokoro ◽  
Kazuhito Sato ◽  
Yusuke Tamura ◽  
...  
Keyword(s):  
Warning System ◽  
Autonomous Driving ◽  
Field Method ◽  
Lane Change ◽  
Driver Assistance ◽  
Driver Assistance Systems ◽  
Lane Changing ◽  
Lane Changes ◽  
Dynamic Potential ◽  
Novel Method

In this paper, we propose a novel method to estimate a goal of surround vehicles to perform a lane change at a merging section. Recently, autonomous driving and advance driver-assistance systems are attracting great attention as a solution to substitute human drivers and to decrease accident rates. For example, a warning system to alert a lane change performed by surrounding vehicles to the front space of the host vehicle can be considered. If it is possible to forecast the intention of the interrupting vehicle in advance, the host driver can easily respond to the lane change with sufficient reaction time. This paper assumes a mandatory situation where two lanes are merged. The proposed method assesses the interaction between the lane-changing vehicle and the host vehicle on the mainstream lane. Then, the lane-change goal is estimated based on the interaction under the assumption that the lane-changing driver decides to minimize the collision risk. The proposed method applies the dynamic potential field method, which changes the distribution according to the relative speed and distance between two subject vehicles, to assess the interaction. The performance of goal estimation is evaluated using real traffic data, and it is demonstrated that the estimation can be successfully performed by the proposed method.

Smartphone based driver assistance system for coordinated lane change

2015 ◽  
Author(s):  
Remya Murugesh ◽  
Ullas Ramanadhan ◽  
Nirmala Vasudevan ◽  
Alin Devassy ◽  
Dilip Krishnaswamy ◽  
...  
Keyword(s):  
Driver Assistance System ◽  
Assistance System ◽  
Lane Change ◽  
Driver Assistance

A hybrid model for lane change prediction with V2X-based driver assistance

2019 ◽  
Vol 534 ◽  
pp. 122033 ◽  
Author(s):  
Ting Xu ◽  
Ruisen Jiang ◽  
Changlei Wen ◽  
Meijun Liu ◽  
Jiehan Zhou
Keyword(s):  
Hybrid Model ◽  
Lane Change ◽  
Driver Assistance ◽  
Change Prediction

Trajectory planning and combined control design for critical high-speed lane change manoeuvres

2019 ◽  
Vol 234 (2-3) ◽  
pp. 823-839
Author(s):  
Hadi Sazgar ◽  
Shahram Azadi ◽  
Reza Kazemi
Keyword(s):  
Trajectory Planning ◽  
High Speed ◽  
Tracking Error ◽  
Computational Cost ◽  
Control Design ◽  
Lane Change ◽  
Driver Assistance ◽  
Yaw Stability ◽  
Combined Control ◽  
Low Computational Cost

The purpose of this research is to develop an advanced driver assistance system for the integrated longitudinal and lateral guidance of vehicles in critical high-speed lane change manoeuvres. The system consists of two parts: trajectory planning and combined control. At the first, by considering the TV position and the available range of longitudinal acceleration, several trajectories with different accelerations are generated. Then, by taking into account the vehicle and tyre dynamics, the most appropriate trajectory is selected. Therefore, the chosen trajectory is collision free and dynamically feasible. Because the trajectory planning is carried out algebraically, it has low computational cost. This is especially valuable in the experimental implementations. At the second part of the study, using a robust combined longitudinal-lateral controller, the control inputs are determined and transmitted to the brake/throttle and steering actuators. Both in the trajectory planning and combined control design, the nonlinear tyre dynamics and the dynamics of throttle and brake actuators are considered. To evaluate the performance of the proposed guidance algorithm, a full CarSim dynamic model is utilized. The simulation results for critical high-speed lane change manoeuvres confirm that the proposed trajectory planning method works effectively. The tracking error is also very small and the yaw stability is guaranteed.

The Development and Evaluation of Icons for Side Obstacle Warning Systems

2002 ◽  
Vol 46 (22) ◽  
pp. 1794-1798 ◽  
Author(s):  
Tina Brunetti Sayer
Keyword(s):  
Driver Assistance System ◽  
Blind Spot ◽  
Production Test ◽  
Lane Change ◽  
Warning Systems ◽  
Driver Assistance ◽  
New Class ◽  
Test Methodology ◽  
Spot Detection ◽  
Recent Developments

A new class of driver assistance system under development is Side Obstacle Warning (SOW). These systems are designed to alert drivers to the presence of vehicles in adjacent lanes. Two forms of SOW systems being developed are Blind Spot Detection and Lane Change Warning. Both are relatively recent developments, and therefore have few established icons. A production test methodology was employed to develop icons that convey the functionality of the two SOW systems. Thirty drivers were asked to draw icons that conveyed the Blind Spot Detection and Lane Change Warning functions. The illustrations that resulted were categorized according to similarities, from which nine icons were developed for each Blind Spot Detection and Lane Change Warning. Sixty drivers rank ordered those icons in an appropriateness ranking test. The rank orders were analyzed, and the most promising icons for both systems are presented.

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