Search results
Results from the WOW.Com Content Network
The top-end variant is also equipped with advanced driver assistance system (ADAS) technology tuned for Indian road conditions, making it the first Mahindra product to receive Level 1 autonomous tech. [5] Variants include MX, AX3, AX5, AX7, and AX7L, which is the top model.
The XUV 3XO is available in multiple variants: [8] [9] MX Series: Includes MX1, MX2, MX2 Pro, MX3, and MX3 Pro. AX Series: Includes AX5, AX5 Luxury, AX7, and AX7 Luxury variants. The top-end variant, AX7 Luxury, features a panoramic sunroof, advanced infotainment options, and a full suite of safety features including ADAS.
Advanced driver-assistance systems (ADAS) are technologies that assist drivers with the safe operation of a vehicle. Through a human-machine interface , ADAS increase car and road safety. ADAS use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly.
This is an advanced driver-assistance feature available in most high-end cars, mainly in European vehicles. An example algorithm for traffic-sign detection. Modern traffic-sign recognition systems are being developed using convolutional neural networks, mainly driven by the requirements of autonomous vehicles and self-driving cars. In these ...
GMC Envoy, a 1997–2008 American mid-size SUV, pickup truck variant called Envoy XUV; HSV Avalanche, a 2003–2005 Australian mid-size performance crossover, pickup truck variant called Avalanche XUV; Mahindra XUV, a series of Indian SUVs which include: Mahindra XUV300, a 2019–present subcompact SUV; Mahindra XUV500, a 2011–2021 compact SUV
The Mahindra XUV500 is a compact crossover SUV produced by the Indian automobile manufacturer Mahindra & Mahindra. The XUV500 was designed and developed at Mahindra's design and vehicle build center in Nashik and Chennai and is manufactured in Mahindra's Chakan & Nashik plant, India. During its development, the car was code-named 'W201'.
ISA was born in France when Saad and Malaterre (1982) carried out their study of driver behaviour with an in-car speed limiter. Actually, they did not really test Intelligent Speed Adaptation, because the system did not automatically set the correct speed limit; instead drivers had to set the limiter themselves, and, rather like a cruise control, they could set it as they chose.
Nvidia has achieved high accuracy in developing self-driving features including lane keeping using the neural network based training mechanism in which they use a front facing camera in a car and run it through a route and then uses the steering input and camera images of the road fed into the neural network and make it 'learn'.