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Topic Review
Automotive Chassis Control Technology
Automotive chassis control technology plays a crucial role in ensuring the stability, performance, and safety of vehicles. This paper reviews and discusses automotive steering/braking/driving/suspension systems from perspectives of system composition, the state of the art, and key technologies. Detailed analysis is conducted on critical techniques related to system fault tolerance, road feel feedback, brake force distribution strategy, electric motors, and motor controllers.The development and application of automotive chassis control technology is in line with the goals and objectives for the advancement of the automotive industry in terms of innovation, safety, and environmental sustainability.
  • 746
  • 29 Dec 2023
Topic Review
Automotive Light Detection and Ranging Sensors
In the future, autonomous vehicles with full self-driving features will populate the public roads. However, fully autonomous cars will require robust perception systems to safely navigate the environment, which includes cameras, RADAR devices, and Light Detection and Ranging (LiDAR) sensors. LiDAR is a key sensor for the future of autonomous driving since it can read the vehicle’s vicinity and provide a real-time 3D visualization of the surroundings through a point cloud representation. These features can assist the autonomous vehicle in several tasks, such as object identification and obstacle avoidance, accurate speed and distance measurements, road navigation, and more. However, it is crucial to detect the ground plane and road limits to safely navigate the environment, which requires extracting information from the point cloud to accurately detect common road boundaries. 
  • 856
  • 13 Jan 2023
Topic Review
Automotive Security Models
As the intelligent car-networking represents the new direction of the future vehicular development, automotive security plays an increasingly important role in the whole car industry chain. On condition that the accompanying problems of security are proofed, vehicles will provide more convenience while ensuring safety. Security models can be utilized as tools to rationalize the security of the automotive system and represent it in a structured manner.
  • 814
  • 08 Dec 2020
Topic Review
Autonomous Cruise Control System
Autonomous cruise control (ACC; also called adaptive cruise control, radar cruise control, traffic-aware cruise control or dynamic radar cruise control) is an optional cruise control system for road vehicles that automatically adjusts the vehicle speed to maintain a safe distance from vehicles ahead. Control is based on sensor information from on-board sensors. (No existing system makes use of satellite or roadside infrastructures nor of cooperative support from other vehicles.) Cooperative Adaptive Cruise Control (CACC) further extends the automation of navigation by using information gathered from fixed infrastructure such as satellites and roadside beacons, or mobile infrastructure such as reflectors or transmitters on the back of other vehicles. Such systems may use a radar or laser sensor or a stereo camera setup allowing the vehicle to brake when it detects the car is approaching another vehicle ahead, then accelerate when traffic allows it to. ACC technology is widely regarded as a key component of any future generations of intelligent cars. They impact driver safety and convenience as well as increasing capacity of roads by maintaining optimal separation between vehicles and reducing driver errors. Vehicles with autonomous cruise control are considered a Level 1 autonomous car, as defined by SAE International. Adaptive cruise Control does not provide full autonomy: the system only provides some help to the driver, but does not drive the car by itself. Europe is the main market for Adaptative Cruise control, in 2016.
  • 2.2K
  • 08 Nov 2022
Topic Review
Autonomous Driving of Electric Vehicles
An autonomous driving system consists of perception, planning, decision, and control, which is illustrated in. The perception subsystem is the basis for other subsystems. It takes data captured from different sensors as input to obtain vehicle’s position and location, also including the size and direction of surrounding objects.
  • 1.4K
  • 17 Sep 2021
Topic Review
Autonomous Driving Systems
Autonomous vehicles are increasingly becoming a necesAutonomous vehicles are increasingly becoming a necessary trend towards building the smart cities of the future. Numerous proposals have been presented in recent years to tackle particular aspects of the working pipeline towards creating a functional end-to-end system, such as object detection, tracking, path planning, sentiment or intent detection, amongst others. Nevertheless, few efforts have been made to systematically compile all of these systems into a single proposal that also considers the real challenges these systems will have on the road, such as real-time computation, hardware capabilities, etc.
  • 1.0K
  • 11 May 2021
Topic Review
Autonomous Driving Technologies in Electric Vehicles
In response to severe environmental and energy crises, the world is increasingly focusing on electric vehicles (EVs) and related emerging technologies. Sensory, control, and telematics technologies are the keys to reliable autonomous driving. The integration and complementarity of EVs and autonomous driving will be an important opportunity for future smart transportation and smart cities. 
  • 2.9K
  • 01 Sep 2022
Topic Review
Autonomous Haulage Systems
Mining is an industry that inherits the full advantage of Industry 4.0 by using cutting-edge driverless vehicles called Autonomous Haulage Systems (AHS) or Autonomous Haulage Trucks (AHT). These trucks can carry up to four hundred tons of ore and accurately transport it without human interaction. AHS is the state-of-the-art in the mining industry for autonomous vehicles.
  • 1.2K
  • 25 Jun 2021
Topic Review
Autonomous Intelligent Vehicles for Urban
With the concept of Internet-of-Things, autonomous vehicles can provide higher driving efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first covers enabling technology involving a vehicle moving out of parking, traveling on the road, and parking at the destination. The development of autonomous vehicles relies on the data collected for deployment in actual road conditions. Research gaps and recommendations for autonomous intelligent vehicles are included
  • 681
  • 28 Apr 2021
Topic Review
Autonomous Landing Site Detection
The advancement of autonomous technology in Unmanned Aerial Vehicles (UAVs) has piloted a new era in aviation. While UAVs were initially utilized only for the military, rescue, and disaster response, they are now being utilized for domestic and civilian purposes as well. In order to deal with its expanded applications and to increase autonomy, the ability for UAVs to perform autonomous landing will be a crucial component.
  • 567
  • 09 Aug 2023
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